Phase response approaches to neural activity models with distributed delay
We present a theoretical framework to calculate the phase response curve of distributed-delay induced limit cycles with infinite-dimensional phase space. Extending previous works, in which non-delayed or discrete-delay systems were investigated, we develop analytical results for phase response curves of oscillatory systems with distributed delay using Gaussian and log-normal delay distributions. We determine the scalar product and normalization condition for the linearized adjoint of the system required for the calculation of the phase response curve. As a paradigmatic example, we apply our technique to the Wilson-Cowan os...
Source: Biological Cybernetics - December 2, 2021 Category: Science Authors: Marius Winkler Gr égory Dumont Eckehard Sch öll Boris Gutkin Source Type: research

Phase response approaches to neural activity models with distributed delay
We present a theoretical framework to calculate the phase response curve of distributed-delay induced limit cycles with infinite-dimensional phase space. Extending previous works, in which non-delayed or discrete-delay systems were investigated, we develop analytical results for phase response curves of oscillatory systems with distributed delay using Gaussian and log-normal delay distributions. We determine the scalar product and normalization condition for the linearized adjoint of the system required for the calculation of the phase response curve. As a paradigmatic example, we apply our technique to the Wilson-Cowan os...
Source: Biological Cybernetics - December 2, 2021 Category: Science Authors: Marius Winkler Gr égory Dumont Eckehard Sch öll Boris Gutkin Source Type: research

Phase response approaches to neural activity models with distributed delay
We present a theoretical framework to calculate the phase response curve of distributed-delay induced limit cycles with infinite-dimensional phase space. Extending previous works, in which non-delayed or discrete-delay systems were investigated, we develop analytical results for phase response curves of oscillatory systems with distributed delay using Gaussian and log-normal delay distributions. We determine the scalar product and normalization condition for the linearized adjoint of the system required for the calculation of the phase response curve. As a paradigmatic example, we apply our technique to the Wilson-Cowan os...
Source: Biological Cybernetics - December 2, 2021 Category: Science Authors: Marius Winkler Gr égory Dumont Eckehard Sch öll Boris Gutkin Source Type: research

Mathematization of nature: how it is done
Biol Cybern. 2021 Nov 27. doi: 10.1007/s00422-021-00914-5. Online ahead of print.ABSTRACTNatural phenomena can be quantitatively described by means of mathematics, which is actually the only way of doing so. Physics is a convincing example of the mathematization of nature. This paper gives an answer to the question of how mathematization of nature is done and illustrates the answer. Here nature is to be taken in a wide sense, being a substantial object of study in, among others, large domains of biology, such as epidemiology and neurobiology, chemistry, and physics, the most outspoken example. It is argued that mathematiza...
Source: Biological Cybernetics - November 27, 2021 Category: Science Authors: J Leo van Hemmen Source Type: research

Mathematization of nature: how it is done
Biol Cybern. 2021 Nov 27. doi: 10.1007/s00422-021-00914-5. Online ahead of print.ABSTRACTNatural phenomena can be quantitatively described by means of mathematics, which is actually the only way of doing so. Physics is a convincing example of the mathematization of nature. This paper gives an answer to the question of how mathematization of nature is done and illustrates the answer. Here nature is to be taken in a wide sense, being a substantial object of study in, among others, large domains of biology, such as epidemiology and neurobiology, chemistry, and physics, the most outspoken example. It is argued that mathematiza...
Source: Biological Cybernetics - November 27, 2021 Category: Science Authors: J Leo van Hemmen Source Type: research

Mathematization of nature: how it is done
Biol Cybern. 2021 Nov 27. doi: 10.1007/s00422-021-00914-5. Online ahead of print.ABSTRACTNatural phenomena can be quantitatively described by means of mathematics, which is actually the only way of doing so. Physics is a convincing example of the mathematization of nature. This paper gives an answer to the question of how mathematization of nature is done and illustrates the answer. Here nature is to be taken in a wide sense, being a substantial object of study in, among others, large domains of biology, such as epidemiology and neurobiology, chemistry, and physics, the most outspoken example. It is argued that mathematiza...
Source: Biological Cybernetics - November 27, 2021 Category: Science Authors: J Leo van Hemmen Source Type: research

Mathematization of nature: how it is done
Biol Cybern. 2021 Nov 27. doi: 10.1007/s00422-021-00914-5. Online ahead of print.ABSTRACTNatural phenomena can be quantitatively described by means of mathematics, which is actually the only way of doing so. Physics is a convincing example of the mathematization of nature. This paper gives an answer to the question of how mathematization of nature is done and illustrates the answer. Here nature is to be taken in a wide sense, being a substantial object of study in, among others, large domains of biology, such as epidemiology and neurobiology, chemistry, and physics, the most outspoken example. It is argued that mathematiza...
Source: Biological Cybernetics - November 27, 2021 Category: Science Authors: J Leo van Hemmen Source Type: research

Geodesic-based distance reveals nonlinear topological features in neural activity from mouse visual cortex
Biol Cybern. 2021 Nov 23. doi: 10.1007/s00422-021-00906-5. Online ahead of print.ABSTRACTAn increasingly popular approach to the analysis of neural data is to treat activity patterns as being constrained to and sampled from a manifold, which can be characterized by its topology. The persistent homology method identifies the type and number of holes in the manifold, thereby yielding functional information about the coding and dynamic properties of the underlying neural network. In this work, we give examples of highly nonlinear manifolds in which the persistent homology algorithm fails when it uses the Euclidean distance be...
Source: Biological Cybernetics - November 24, 2021 Category: Science Authors: Kosio Beshkov Paul Tiesinga Source Type: research

Geodesic-based distance reveals nonlinear topological features in neural activity from mouse visual cortex
Biol Cybern. 2021 Nov 23. doi: 10.1007/s00422-021-00906-5. Online ahead of print.ABSTRACTAn increasingly popular approach to the analysis of neural data is to treat activity patterns as being constrained to and sampled from a manifold, which can be characterized by its topology. The persistent homology method identifies the type and number of holes in the manifold, thereby yielding functional information about the coding and dynamic properties of the underlying neural network. In this work, we give examples of highly nonlinear manifolds in which the persistent homology algorithm fails when it uses the Euclidean distance be...
Source: Biological Cybernetics - November 24, 2021 Category: Science Authors: Kosio Beshkov Paul Tiesinga Source Type: research

Geodesic-based distance reveals nonlinear topological features in neural activity from mouse visual cortex
Biol Cybern. 2021 Nov 23. doi: 10.1007/s00422-021-00906-5. Online ahead of print.ABSTRACTAn increasingly popular approach to the analysis of neural data is to treat activity patterns as being constrained to and sampled from a manifold, which can be characterized by its topology. The persistent homology method identifies the type and number of holes in the manifold, thereby yielding functional information about the coding and dynamic properties of the underlying neural network. In this work, we give examples of highly nonlinear manifolds in which the persistent homology algorithm fails when it uses the Euclidean distance be...
Source: Biological Cybernetics - November 24, 2021 Category: Science Authors: Kosio Beshkov Paul Tiesinga Source Type: research

Freshwater organisms potentially useful as biosensors and power-generation mediators in biohybrid robotics
Biol Cybern. 2021 Nov 23. doi: 10.1007/s00422-021-00902-9. Online ahead of print.ABSTRACTFacing the threat of rapidly worsening water quality, there is an urgent need to develop novel approaches of monitoring its global supplies and early detection of environmental fluctuations. Global warming, urban growth and other factors have threatened not only the freshwater supply but also the well-being of many species inhabiting it. Traditionally, laboratory-based studies can be both time and money consuming and so, the development of a real-time, continuous monitoring method has proven necessary. The use of autonomous, self-actua...
Source: Biological Cybernetics - November 23, 2021 Category: Science Authors: Wiktoria Rajewicz Donato Romano Joshua Cherian Varughese Godfried Jansen Van Vuuren Alexandre Campo Ronald Thenius Thomas Schmickl Source Type: research

Freshwater organisms potentially useful as biosensors and power-generation mediators in biohybrid robotics
Biol Cybern. 2021 Nov 23. doi: 10.1007/s00422-021-00902-9. Online ahead of print.ABSTRACTFacing the threat of rapidly worsening water quality, there is an urgent need to develop novel approaches of monitoring its global supplies and early detection of environmental fluctuations. Global warming, urban growth and other factors have threatened not only the freshwater supply but also the well-being of many species inhabiting it. Traditionally, laboratory-based studies can be both time and money consuming and so, the development of a real-time, continuous monitoring method has proven necessary. The use of autonomous, self-actua...
Source: Biological Cybernetics - November 23, 2021 Category: Science Authors: Wiktoria Rajewicz Donato Romano Joshua Cherian Varughese Godfried Jansen Van Vuuren Alexandre Campo Ronald Thenius Thomas Schmickl Source Type: research

Evolution of the Wilson-Cowan equations
Biol Cybern. 2021 Nov 19. doi: 10.1007/s00422-021-00912-7. Online ahead of print.ABSTRACTThe Wilson-Cowan equations were developed to provide a simplified yet powerful description of neural network dynamics. As such, they embraced nonlinear dynamics, but in an interpretable form. Most importantly, it was the first mathematical formulation to emphasize the significance of interactions between excitatory and inhibitory neural populations, thereby incorporating both cooperation and competition. Subsequent research by many has documented the Wilson-Cowan significance in such diverse fields as visual hallucinations, memory, bin...
Source: Biological Cybernetics - November 19, 2021 Category: Science Authors: Hugh R Wilson Jack D Cowan Source Type: research

Evolution of the Wilson-Cowan equations
Biol Cybern. 2021 Nov 19. doi: 10.1007/s00422-021-00912-7. Online ahead of print.ABSTRACTThe Wilson-Cowan equations were developed to provide a simplified yet powerful description of neural network dynamics. As such, they embraced nonlinear dynamics, but in an interpretable form. Most importantly, it was the first mathematical formulation to emphasize the significance of interactions between excitatory and inhibitory neural populations, thereby incorporating both cooperation and competition. Subsequent research by many has documented the Wilson-Cowan significance in such diverse fields as visual hallucinations, memory, bin...
Source: Biological Cybernetics - November 19, 2021 Category: Science Authors: Hugh R Wilson Jack D Cowan Source Type: research

Evolution of the Wilson-Cowan equations
Biol Cybern. 2021 Nov 19. doi: 10.1007/s00422-021-00912-7. Online ahead of print.ABSTRACTThe Wilson-Cowan equations were developed to provide a simplified yet powerful description of neural network dynamics. As such, they embraced nonlinear dynamics, but in an interpretable form. Most importantly, it was the first mathematical formulation to emphasize the significance of interactions between excitatory and inhibitory neural populations, thereby incorporating both cooperation and competition. Subsequent research by many has documented the Wilson-Cowan significance in such diverse fields as visual hallucinations, memory, bin...
Source: Biological Cybernetics - November 19, 2021 Category: Science Authors: Hugh R Wilson Jack D Cowan Source Type: research

Evolution of the Wilson-Cowan equations
Biol Cybern. 2021 Nov 19. doi: 10.1007/s00422-021-00912-7. Online ahead of print.ABSTRACTThe Wilson-Cowan equations were developed to provide a simplified yet powerful description of neural network dynamics. As such, they embraced nonlinear dynamics, but in an interpretable form. Most importantly, it was the first mathematical formulation to emphasize the significance of interactions between excitatory and inhibitory neural populations, thereby incorporating both cooperation and competition. Subsequent research by many has documented the Wilson-Cowan significance in such diverse fields as visual hallucinations, memory, bin...
Source: Biological Cybernetics - November 19, 2021 Category: Science Authors: Hugh R Wilson Jack D Cowan Source Type: research

Animal-robot interaction and biohybrid organisms
Biol Cybern. 2021 Nov 18. doi: 10.1007/s00422-021-00913-6. Online ahead of print.NO ABSTRACTPMID:34792630 | DOI:10.1007/s00422-021-00913-6 (Source: Biological Cybernetics)
Source: Biological Cybernetics - November 18, 2021 Category: Science Authors: Donato Romano Cesare Stefanini Source Type: research

Correction to: Excitable networks for finite state computation with continuous time recurrent neural networks
Biol Cybern. 2021 Nov 18. doi: 10.1007/s00422-021-00911-8. Online ahead of print.NO ABSTRACTPMID:34792631 | DOI:10.1007/s00422-021-00911-8 (Source: Biological Cybernetics)
Source: Biological Cybernetics - November 18, 2021 Category: Science Authors: Peter Ashwin Claire Postlethwaite Source Type: research

Generalized neural field theory of cortical plasticity illustrated by an application to the linear phase of ocular dominance column formation in primary visual cortex
Biol Cybern. 2021 Nov 13. doi: 10.1007/s00422-021-00901-w. Online ahead of print.ABSTRACTPhysiologically based neural field theory (NFT) is extended to encompass cortical plasticity dynamics. An illustrative application is provided which treats the evolution of the connectivity of left- and right-eye visual stimuli to neuronal populations in the primary visual cortex (V1), and the initial, linear phase of formation of approximately one-dimensional (1D) ocular dominance columns (ODCs) that sets their transverse spatial scale. This links V1 activity, structure, and physiology within a single theory that already accounts for ...
Source: Biological Cybernetics - November 13, 2021 Category: Science Authors: M M Aghili Yajadda P A Robinson J A Henderson Source Type: research

Generalized neural field theory of cortical plasticity illustrated by an application to the linear phase of ocular dominance column formation in primary visual cortex
Biol Cybern. 2021 Nov 13. doi: 10.1007/s00422-021-00901-w. Online ahead of print.ABSTRACTPhysiologically based neural field theory (NFT) is extended to encompass cortical plasticity dynamics. An illustrative application is provided which treats the evolution of the connectivity of left- and right-eye visual stimuli to neuronal populations in the primary visual cortex (V1), and the initial, linear phase of formation of approximately one-dimensional (1D) ocular dominance columns (ODCs) that sets their transverse spatial scale. This links V1 activity, structure, and physiology within a single theory that already accounts for ...
Source: Biological Cybernetics - November 13, 2021 Category: Science Authors: M M Aghili Yajadda P A Robinson J A Henderson Source Type: research

Generalized neural field theory of cortical plasticity illustrated by an application to the linear phase of ocular dominance column formation in primary visual cortex
Biol Cybern. 2021 Nov 13. doi: 10.1007/s00422-021-00901-w. Online ahead of print.ABSTRACTPhysiologically based neural field theory (NFT) is extended to encompass cortical plasticity dynamics. An illustrative application is provided which treats the evolution of the connectivity of left- and right-eye visual stimuli to neuronal populations in the primary visual cortex (V1), and the initial, linear phase of formation of approximately one-dimensional (1D) ocular dominance columns (ODCs) that sets their transverse spatial scale. This links V1 activity, structure, and physiology within a single theory that already accounts for ...
Source: Biological Cybernetics - November 13, 2021 Category: Science Authors: M M Aghili Yajadda P A Robinson J A Henderson Source Type: research

Generalized neural field theory of cortical plasticity illustrated by an application to the linear phase of ocular dominance column formation in primary visual cortex
Biol Cybern. 2021 Nov 13. doi: 10.1007/s00422-021-00901-w. Online ahead of print.ABSTRACTPhysiologically based neural field theory (NFT) is extended to encompass cortical plasticity dynamics. An illustrative application is provided which treats the evolution of the connectivity of left- and right-eye visual stimuli to neuronal populations in the primary visual cortex (V1), and the initial, linear phase of formation of approximately one-dimensional (1D) ocular dominance columns (ODCs) that sets their transverse spatial scale. This links V1 activity, structure, and physiology within a single theory that already accounts for ...
Source: Biological Cybernetics - November 13, 2021 Category: Science Authors: M M Aghili Yajadda P A Robinson J A Henderson Source Type: research

Generalized neural field theory of cortical plasticity illustrated by an application to the linear phase of ocular dominance column formation in primary visual cortex
Biol Cybern. 2021 Nov 13. doi: 10.1007/s00422-021-00901-w. Online ahead of print.ABSTRACTPhysiologically based neural field theory (NFT) is extended to encompass cortical plasticity dynamics. An illustrative application is provided which treats the evolution of the connectivity of left- and right-eye visual stimuli to neuronal populations in the primary visual cortex (V1), and the initial, linear phase of formation of approximately one-dimensional (1D) ocular dominance columns (ODCs) that sets their transverse spatial scale. This links V1 activity, structure, and physiology within a single theory that already accounts for ...
Source: Biological Cybernetics - November 13, 2021 Category: Science Authors: M M Aghili Yajadda P A Robinson J A Henderson Source Type: research

On motion camouflage as proportional navigation
Biol Cybern. 2021 Nov 11. doi: 10.1007/s00422-021-00907-4. Online ahead of print.ABSTRACTMotion camouflage is a stealth behaviour by which an insect can appear stationary at a fixed point while approaching or escaping another moving insect. Although several approaches have been proposed to generate motion camouflage in simulated and real agents, the exact mechanisms insects use to perform this complex behaviour are not well understood, especially considering their limited perceptual and computational resources. This paper sheds light on the possible underlying control mechanisms insect might use to generate motion camoufla...
Source: Biological Cybernetics - November 12, 2021 Category: Science Authors: I ñaki Rañó Source Type: research

On motion camouflage as proportional navigation
Biol Cybern. 2021 Nov 11. doi: 10.1007/s00422-021-00907-4. Online ahead of print.ABSTRACTMotion camouflage is a stealth behaviour by which an insect can appear stationary at a fixed point while approaching or escaping another moving insect. Although several approaches have been proposed to generate motion camouflage in simulated and real agents, the exact mechanisms insects use to perform this complex behaviour are not well understood, especially considering their limited perceptual and computational resources. This paper sheds light on the possible underlying control mechanisms insect might use to generate motion camoufla...
Source: Biological Cybernetics - November 12, 2021 Category: Science Authors: I ñaki Rañó Source Type: research

Pattern formation revisited within nonequilibrium thermodynamics: Burgers'-type equation
Biol Cybern. 2021 Nov 10. doi: 10.1007/s00422-021-00908-3. Online ahead of print.ABSTRACTWe revisit the description of reaction-diffusion phenomena within nonequilibrium thermodynamics and investigate the role of a nonstandard splitting of the entropy balance into the entropy production and the divergence of entropy flux. As previously reported by Pavelka et al. (Int J Eng Sci 78:192-217, 2014), a new term is identified following from the kinetic energy of diffusion. This newly appearing term acts as a thermodynamic force driving the reaction kinetics. Using the standard constitutive relations within the linear nonequilibr...
Source: Biological Cybernetics - November 10, 2021 Category: Science Authors: V áclav Klika Source Type: research

Pattern formation revisited within nonequilibrium thermodynamics: Burgers'-type equation
Biol Cybern. 2021 Nov 10. doi: 10.1007/s00422-021-00908-3. Online ahead of print.ABSTRACTWe revisit the description of reaction-diffusion phenomena within nonequilibrium thermodynamics and investigate the role of a nonstandard splitting of the entropy balance into the entropy production and the divergence of entropy flux. As previously reported by Pavelka et al. (Int J Eng Sci 78:192-217, 2014), a new term is identified following from the kinetic energy of diffusion. This newly appearing term acts as a thermodynamic force driving the reaction kinetics. Using the standard constitutive relations within the linear nonequilibr...
Source: Biological Cybernetics - November 10, 2021 Category: Science Authors: V áclav Klika Source Type: research

The creation of phenomena in interactive biorobotics
Biol Cybern. 2021 Oct 29. doi: 10.1007/s00422-021-00900-x. Online ahead of print.ABSTRACTIn so-called interactive biorobotics, robotic models of living systems interact with animals in controlled experimental settings. By observing how the focal animal reacts to the stimuli delivered by the robot, one tests hypotheses concerning the determinants of animal behaviour in social contexts. Building on previous methodological reconstructions of interactive biorobotics, this article reflects on the claim, made by several authors in the field, that this strategy may enable one to explain social phenomena in animals. The answer off...
Source: Biological Cybernetics - October 29, 2021 Category: Science Authors: Edoardo Datteri Source Type: research

The creation of phenomena in interactive biorobotics
Biol Cybern. 2021 Oct 29. doi: 10.1007/s00422-021-00900-x. Online ahead of print.ABSTRACTIn so-called interactive biorobotics, robotic models of living systems interact with animals in controlled experimental settings. By observing how the focal animal reacts to the stimuli delivered by the robot, one tests hypotheses concerning the determinants of animal behaviour in social contexts. Building on previous methodological reconstructions of interactive biorobotics, this article reflects on the claim, made by several authors in the field, that this strategy may enable one to explain social phenomena in animals. The answer off...
Source: Biological Cybernetics - October 29, 2021 Category: Science Authors: Edoardo Datteri Source Type: research

The creation of phenomena in interactive biorobotics
Biol Cybern. 2021 Oct 29. doi: 10.1007/s00422-021-00900-x. Online ahead of print.ABSTRACTIn so-called interactive biorobotics, robotic models of living systems interact with animals in controlled experimental settings. By observing how the focal animal reacts to the stimuli delivered by the robot, one tests hypotheses concerning the determinants of animal behaviour in social contexts. Building on previous methodological reconstructions of interactive biorobotics, this article reflects on the claim, made by several authors in the field, that this strategy may enable one to explain social phenomena in animals. The answer off...
Source: Biological Cybernetics - October 29, 2021 Category: Science Authors: Edoardo Datteri Source Type: research

The creation of phenomena in interactive biorobotics
Biol Cybern. 2021 Oct 29. doi: 10.1007/s00422-021-00900-x. Online ahead of print.ABSTRACTIn so-called interactive biorobotics, robotic models of living systems interact with animals in controlled experimental settings. By observing how the focal animal reacts to the stimuli delivered by the robot, one tests hypotheses concerning the determinants of animal behaviour in social contexts. Building on previous methodological reconstructions of interactive biorobotics, this article reflects on the claim, made by several authors in the field, that this strategy may enable one to explain social phenomena in animals. The answer off...
Source: Biological Cybernetics - October 29, 2021 Category: Science Authors: Edoardo Datteri Source Type: research

The creation of phenomena in interactive biorobotics
Biol Cybern. 2021 Oct 29. doi: 10.1007/s00422-021-00900-x. Online ahead of print.ABSTRACTIn so-called interactive biorobotics, robotic models of living systems interact with animals in controlled experimental settings. By observing how the focal animal reacts to the stimuli delivered by the robot, one tests hypotheses concerning the determinants of animal behaviour in social contexts. Building on previous methodological reconstructions of interactive biorobotics, this article reflects on the claim, made by several authors in the field, that this strategy may enable one to explain social phenomena in animals. The answer off...
Source: Biological Cybernetics - October 29, 2021 Category: Science Authors: Edoardo Datteri Source Type: research

The creation of phenomena in interactive biorobotics
Biol Cybern. 2021 Oct 29. doi: 10.1007/s00422-021-00900-x. Online ahead of print.ABSTRACTIn so-called interactive biorobotics, robotic models of living systems interact with animals in controlled experimental settings. By observing how the focal animal reacts to the stimuli delivered by the robot, one tests hypotheses concerning the determinants of animal behaviour in social contexts. Building on previous methodological reconstructions of interactive biorobotics, this article reflects on the claim, made by several authors in the field, that this strategy may enable one to explain social phenomena in animals. The answer off...
Source: Biological Cybernetics - October 29, 2021 Category: Science Authors: Edoardo Datteri Source Type: research

The creation of phenomena in interactive biorobotics
Biol Cybern. 2021 Oct 29. doi: 10.1007/s00422-021-00900-x. Online ahead of print.ABSTRACTIn so-called interactive biorobotics, robotic models of living systems interact with animals in controlled experimental settings. By observing how the focal animal reacts to the stimuli delivered by the robot, one tests hypotheses concerning the determinants of animal behaviour in social contexts. Building on previous methodological reconstructions of interactive biorobotics, this article reflects on the claim, made by several authors in the field, that this strategy may enable one to explain social phenomena in animals. The answer off...
Source: Biological Cybernetics - October 29, 2021 Category: Science Authors: Edoardo Datteri Source Type: research

The creation of phenomena in interactive biorobotics
Biol Cybern. 2021 Oct 29. doi: 10.1007/s00422-021-00900-x. Online ahead of print.ABSTRACTIn so-called interactive biorobotics, robotic models of living systems interact with animals in controlled experimental settings. By observing how the focal animal reacts to the stimuli delivered by the robot, one tests hypotheses concerning the determinants of animal behaviour in social contexts. Building on previous methodological reconstructions of interactive biorobotics, this article reflects on the claim, made by several authors in the field, that this strategy may enable one to explain social phenomena in animals. The answer off...
Source: Biological Cybernetics - October 29, 2021 Category: Science Authors: Edoardo Datteri Source Type: research

The creation of phenomena in interactive biorobotics
Biol Cybern. 2021 Oct 29. doi: 10.1007/s00422-021-00900-x. Online ahead of print.ABSTRACTIn so-called interactive biorobotics, robotic models of living systems interact with animals in controlled experimental settings. By observing how the focal animal reacts to the stimuli delivered by the robot, one tests hypotheses concerning the determinants of animal behaviour in social contexts. Building on previous methodological reconstructions of interactive biorobotics, this article reflects on the claim, made by several authors in the field, that this strategy may enable one to explain social phenomena in animals. The answer off...
Source: Biological Cybernetics - October 29, 2021 Category: Science Authors: Edoardo Datteri Source Type: research

From internal models toward metacognitive AI
Biol Cybern. 2021 Oct;115(5):415-430. doi: 10.1007/s00422-021-00904-7.ABSTRACTIn several papers published in Biological Cybernetics in the 1980s and 1990s, Kawato and colleagues proposed computational models explaining how internal models are acquired in the cerebellum. These models were later supported by neurophysiological experiments using monkeys and neuroimaging experiments involving humans. These early studies influenced neuroscience from basic, sensory-motor control to higher cognitive functions. One of the most perplexing enigmas related to internal models is to understand the neural mechanisms that enable animals ...
Source: Biological Cybernetics - October 22, 2021 Category: Science Authors: Mitsuo Kawato Aurelio Cortese Source Type: research

From internal models toward metacognitive AI
Biol Cybern. 2021 Oct;115(5):415-430. doi: 10.1007/s00422-021-00904-7.ABSTRACTIn several papers published in Biological Cybernetics in the 1980s and 1990s, Kawato and colleagues proposed computational models explaining how internal models are acquired in the cerebellum. These models were later supported by neurophysiological experiments using monkeys and neuroimaging experiments involving humans. These early studies influenced neuroscience from basic, sensory-motor control to higher cognitive functions. One of the most perplexing enigmas related to internal models is to understand the neural mechanisms that enable animals ...
Source: Biological Cybernetics - October 22, 2021 Category: Science Authors: Mitsuo Kawato Aurelio Cortese Source Type: research

From internal models toward metacognitive AI
Biol Cybern. 2021 Oct;115(5):415-430. doi: 10.1007/s00422-021-00904-7.ABSTRACTIn several papers published in Biological Cybernetics in the 1980s and 1990s, Kawato and colleagues proposed computational models explaining how internal models are acquired in the cerebellum. These models were later supported by neurophysiological experiments using monkeys and neuroimaging experiments involving humans. These early studies influenced neuroscience from basic, sensory-motor control to higher cognitive functions. One of the most perplexing enigmas related to internal models is to understand the neural mechanisms that enable animals ...
Source: Biological Cybernetics - October 22, 2021 Category: Science Authors: Mitsuo Kawato Aurelio Cortese Source Type: research

From internal models toward metacognitive AI
Biol Cybern. 2021 Oct 22. doi: 10.1007/s00422-021-00904-7. Online ahead of print.ABSTRACTIn several papers published in Biological Cybernetics in the 1980s and 1990s, Kawato and colleagues proposed computational models explaining how internal models are acquired in the cerebellum. These models were later supported by neurophysiological experiments using monkeys and neuroimaging experiments involving humans. These early studies influenced neuroscience from basic, sensory-motor control to higher cognitive functions. One of the most perplexing enigmas related to internal models is to understand the neural mechanisms that enab...
Source: Biological Cybernetics - October 22, 2021 Category: Science Authors: Mitsuo Kawato Aurelio Cortese Source Type: research

Mapping input noise to escape noise in integrate-and-fire neurons: a level-crossing approach
Biol Cybern. 2021 Oct 19. doi: 10.1007/s00422-021-00899-1. Online ahead of print.ABSTRACTNoise in spiking neurons is commonly modeled by a noisy input current or by generating output spikes stochastically with a voltage-dependent hazard rate ("escape noise"). While input noise lends itself to modeling biophysical noise processes, the phenomenological escape noise is mathematically more tractable. Using the level-crossing theory for differentiable Gaussian processes, we derive an approximate mapping between colored input noise and escape noise in leaky integrate-and-fire neurons. This mapping requires the first-pa...
Source: Biological Cybernetics - October 20, 2021 Category: Science Authors: Tilo Schwalger Source Type: research

Mapping input noise to escape noise in integrate-and-fire neurons: a level-crossing approach
Biol Cybern. 2021 Oct 19. doi: 10.1007/s00422-021-00899-1. Online ahead of print.ABSTRACTNoise in spiking neurons is commonly modeled by a noisy input current or by generating output spikes stochastically with a voltage-dependent hazard rate ("escape noise"). While input noise lends itself to modeling biophysical noise processes, the phenomenological escape noise is mathematically more tractable. Using the level-crossing theory for differentiable Gaussian processes, we derive an approximate mapping between colored input noise and escape noise in leaky integrate-and-fire neurons. This mapping requires the first-pa...
Source: Biological Cybernetics - October 20, 2021 Category: Science Authors: Tilo Schwalger Source Type: research

Mapping input noise to escape noise in integrate-and-fire neurons: a level-crossing approach
Biol Cybern. 2021 Oct 19. doi: 10.1007/s00422-021-00899-1. Online ahead of print.ABSTRACTNoise in spiking neurons is commonly modeled by a noisy input current or by generating output spikes stochastically with a voltage-dependent hazard rate ("escape noise"). While input noise lends itself to modeling biophysical noise processes, the phenomenological escape noise is mathematically more tractable. Using the level-crossing theory for differentiable Gaussian processes, we derive an approximate mapping between colored input noise and escape noise in leaky integrate-and-fire neurons. This mapping requires the first-pa...
Source: Biological Cybernetics - October 20, 2021 Category: Science Authors: Tilo Schwalger Source Type: research

Mapping input noise to escape noise in integrate-and-fire neurons: a level-crossing approach
Biol Cybern. 2021 Oct 19. doi: 10.1007/s00422-021-00899-1. Online ahead of print.ABSTRACTNoise in spiking neurons is commonly modeled by a noisy input current or by generating output spikes stochastically with a voltage-dependent hazard rate ("escape noise"). While input noise lends itself to modeling biophysical noise processes, the phenomenological escape noise is mathematically more tractable. Using the level-crossing theory for differentiable Gaussian processes, we derive an approximate mapping between colored input noise and escape noise in leaky integrate-and-fire neurons. This mapping requires the first-pa...
Source: Biological Cybernetics - October 20, 2021 Category: Science Authors: Tilo Schwalger Source Type: research

Mapping input noise to escape noise in integrate-and-fire neurons: a level-crossing approach
Biol Cybern. 2021 Oct 19. doi: 10.1007/s00422-021-00899-1. Online ahead of print.ABSTRACTNoise in spiking neurons is commonly modeled by a noisy input current or by generating output spikes stochastically with a voltage-dependent hazard rate ("escape noise"). While input noise lends itself to modeling biophysical noise processes, the phenomenological escape noise is mathematically more tractable. Using the level-crossing theory for differentiable Gaussian processes, we derive an approximate mapping between colored input noise and escape noise in leaky integrate-and-fire neurons. This mapping requires the first-pa...
Source: Biological Cybernetics - October 20, 2021 Category: Science Authors: Tilo Schwalger Source Type: research

Toward understanding the neural code of the brain
Biol Cybern. 2021 Oct 18. doi: 10.1007/s00422-021-00903-8. Online ahead of print.ABSTRACTMore and more, the neurosciences and the sciences concerned with mind and cognition are burying fundamental questions under layers of professional methodology. I therefore welcome Biological Cybernetics' invitation to comment on two of my papers, (von der Malsburg 1973) and (von der Malsburg and Schneider 1986) (henceforth referred to as (I) and (II)) as an opportunity to address two fundamental questions about brain and mind: How is the brain's structure generated? and How is mental content expressed by the brain's physical states? Th...
Source: Biological Cybernetics - October 18, 2021 Category: Science Authors: Christoph von der Malsburg Source Type: research

Toward understanding the neural code of the brain
Biol Cybern. 2021 Oct 18. doi: 10.1007/s00422-021-00903-8. Online ahead of print.ABSTRACTMore and more, the neurosciences and the sciences concerned with mind and cognition are burying fundamental questions under layers of professional methodology. I therefore welcome Biological Cybernetics' invitation to comment on two of my papers, (von der Malsburg 1973) and (von der Malsburg and Schneider 1986) (henceforth referred to as (I) and (II)) as an opportunity to address two fundamental questions about brain and mind: How is the brain's structure generated? and How is mental content expressed by the brain's physical states? Th...
Source: Biological Cybernetics - October 18, 2021 Category: Science Authors: Christoph von der Malsburg Source Type: research

A discrete magno-parvo additive model in early vision for explaining brightness perception in varying contrastive contexts
Biol Cybern. 2021 Oct 11. doi: 10.1007/s00422-021-00896-4. Online ahead of print.ABSTRACTA varying contrastive context filter (VCCF)-based model of brightness perception has been proposed. It is motivated first by a recently proposed difference of difference-of-Gaussian (DDOG) filter. Alongside, it is also inspired from the fact that the nature evolves various discrete systems and mechanisms to carry out many of its complex tasks. A weight factor, used for the linear combination of two filters representing the magnocellular and parvocellular channels in the central visual pathway, has been defined and termed as the factor ...
Source: Biological Cybernetics - October 12, 2021 Category: Science Authors: Ashish Bakshi Sourya Roy Arijit Mallick Kuntal Ghosh Source Type: research

A discrete magno-parvo additive model in early vision for explaining brightness perception in varying contrastive contexts
Biol Cybern. 2021 Oct 11. doi: 10.1007/s00422-021-00896-4. Online ahead of print.ABSTRACTA varying contrastive context filter (VCCF)-based model of brightness perception has been proposed. It is motivated first by a recently proposed difference of difference-of-Gaussian (DDOG) filter. Alongside, it is also inspired from the fact that the nature evolves various discrete systems and mechanisms to carry out many of its complex tasks. A weight factor, used for the linear combination of two filters representing the magnocellular and parvocellular channels in the central visual pathway, has been defined and termed as the factor ...
Source: Biological Cybernetics - October 12, 2021 Category: Science Authors: Ashish Bakshi Sourya Roy Arijit Mallick Kuntal Ghosh Source Type: research

A discrete magno-parvo additive model in early vision for explaining brightness perception in varying contrastive contexts
Biol Cybern. 2021 Oct 11. doi: 10.1007/s00422-021-00896-4. Online ahead of print.ABSTRACTA varying contrastive context filter (VCCF)-based model of brightness perception has been proposed. It is motivated first by a recently proposed difference of difference-of-Gaussian (DDOG) filter. Alongside, it is also inspired from the fact that the nature evolves various discrete systems and mechanisms to carry out many of its complex tasks. A weight factor, used for the linear combination of two filters representing the magnocellular and parvocellular channels in the central visual pathway, has been defined and termed as the factor ...
Source: Biological Cybernetics - October 12, 2021 Category: Science Authors: Ashish Bakshi Sourya Roy Arijit Mallick Kuntal Ghosh Source Type: research