A Fundamental Inequality Governing the Rate Coding Response of Sensory Neurons
Biol Cybern. 2023 Aug 19. doi: 10.1007/s00422-023-00971-y. Online ahead of print.ABSTRACTA fundamental inequality governing the spike activity of peripheral neurons is derived and tested against auditory data. This inequality states that the steady-state firing rate must lie between the arithmetic and geometric means of the spontaneous and peak activities during adaptation. Implications towards the development of auditory mechanistic models are explored.PMID:37597017 | DOI:10.1007/s00422-023-00971-y (Source: Biological Cybernetics)
Source: Biological Cybernetics - August 19, 2023 Category: Science Authors: Willy Wong Source Type: research
A Fundamental Inequality Governing the Rate Coding Response of Sensory Neurons
Biol Cybern. 2023 Aug 19. doi: 10.1007/s00422-023-00971-y. Online ahead of print.ABSTRACTA fundamental inequality governing the spike activity of peripheral neurons is derived and tested against auditory data. This inequality states that the steady-state firing rate must lie between the arithmetic and geometric means of the spontaneous and peak activities during adaptation. Implications towards the development of auditory mechanistic models are explored.PMID:37597017 | DOI:10.1007/s00422-023-00971-y (Source: Biological Cybernetics)
Source: Biological Cybernetics - August 19, 2023 Category: Science Authors: Willy Wong Source Type: research
A Fundamental Inequality Governing the Rate Coding Response of Sensory Neurons
Biol Cybern. 2023 Aug 19. doi: 10.1007/s00422-023-00971-y. Online ahead of print.ABSTRACTA fundamental inequality governing the spike activity of peripheral neurons is derived and tested against auditory data. This inequality states that the steady-state firing rate must lie between the arithmetic and geometric means of the spontaneous and peak activities during adaptation. Implications towards the development of auditory mechanistic models are explored.PMID:37597017 | DOI:10.1007/s00422-023-00971-y (Source: Biological Cybernetics)
Source: Biological Cybernetics - August 19, 2023 Category: Science Authors: Willy Wong Source Type: research
A Fundamental Inequality Governing the Rate Coding Response of Sensory Neurons
Biol Cybern. 2023 Aug 19. doi: 10.1007/s00422-023-00971-y. Online ahead of print.ABSTRACTA fundamental inequality governing the spike activity of peripheral neurons is derived and tested against auditory data. This inequality states that the steady-state firing rate must lie between the arithmetic and geometric means of the spontaneous and peak activities during adaptation. Implications towards the development of auditory mechanistic models are explored.PMID:37597017 | DOI:10.1007/s00422-023-00971-y (Source: Biological Cybernetics)
Source: Biological Cybernetics - August 19, 2023 Category: Science Authors: Willy Wong Source Type: research
A Fundamental Inequality Governing the Rate Coding Response of Sensory Neurons
Biol Cybern. 2023 Aug 19. doi: 10.1007/s00422-023-00971-y. Online ahead of print.ABSTRACTA fundamental inequality governing the spike activity of peripheral neurons is derived and tested against auditory data. This inequality states that the steady-state firing rate must lie between the arithmetic and geometric means of the spontaneous and peak activities during adaptation. Implications towards the development of auditory mechanistic models are explored.PMID:37597017 | DOI:10.1007/s00422-023-00971-y (Source: Biological Cybernetics)
Source: Biological Cybernetics - August 19, 2023 Category: Science Authors: Willy Wong Source Type: research
A Fundamental Inequality Governing the Rate Coding Response of Sensory Neurons
Biol Cybern. 2023 Aug 19. doi: 10.1007/s00422-023-00971-y. Online ahead of print.ABSTRACTA fundamental inequality governing the spike activity of peripheral neurons is derived and tested against auditory data. This inequality states that the steady-state firing rate must lie between the arithmetic and geometric means of the spontaneous and peak activities during adaptation. Implications towards the development of auditory mechanistic models are explored.PMID:37597017 | DOI:10.1007/s00422-023-00971-y (Source: Biological Cybernetics)
Source: Biological Cybernetics - August 19, 2023 Category: Science Authors: Willy Wong Source Type: research
A Fundamental Inequality Governing the Rate Coding Response of Sensory Neurons
Biol Cybern. 2023 Aug 19. doi: 10.1007/s00422-023-00971-y. Online ahead of print.ABSTRACTA fundamental inequality governing the spike activity of peripheral neurons is derived and tested against auditory data. This inequality states that the steady-state firing rate must lie between the arithmetic and geometric means of the spontaneous and peak activities during adaptation. Implications towards the development of auditory mechanistic models are explored.PMID:37597017 | DOI:10.1007/s00422-023-00971-y (Source: Biological Cybernetics)
Source: Biological Cybernetics - August 19, 2023 Category: Science Authors: Willy Wong Source Type: research
The Bcm rule allows a spinal cord model to learn rhythmic movements
Biol Cybern. 2023 Aug 18. doi: 10.1007/s00422-023-00970-z. Online ahead of print.ABSTRACTCurrently, it is accepted that animal locomotion is controlled by a central pattern generator in the spinal cord. Experiments and models show that rhythm generating neurons and genetically determined network properties could sustain oscillatory output activity suitable for locomotion. However, current central pattern generator models do not explain how a spinal cord circuitry, which has the same basic genetic plan across species, can adapt to control the different biomechanical properties and locomotion patterns existing in these speci...
Source: Biological Cybernetics - August 18, 2023 Category: Science Authors: Matthias Kohler Florian R öhrbein Alois Knoll Alin Albu-Sch äffer Henrik J örntell Source Type: research
The Bcm rule allows a spinal cord model to learn rhythmic movements
Biol Cybern. 2023 Aug 18. doi: 10.1007/s00422-023-00970-z. Online ahead of print.ABSTRACTCurrently, it is accepted that animal locomotion is controlled by a central pattern generator in the spinal cord. Experiments and models show that rhythm generating neurons and genetically determined network properties could sustain oscillatory output activity suitable for locomotion. However, current central pattern generator models do not explain how a spinal cord circuitry, which has the same basic genetic plan across species, can adapt to control the different biomechanical properties and locomotion patterns existing in these speci...
Source: Biological Cybernetics - August 18, 2023 Category: Science Authors: Matthias Kohler Florian R öhrbein Alois Knoll Alin Albu-Sch äffer Henrik J örntell Source Type: research
Bio-inspired, task-free continual learning through activity regularization
Biol Cybern. 2023 Aug 17. doi: 10.1007/s00422-023-00973-w. Online ahead of print.ABSTRACTThe ability to sequentially learn multiple tasks without forgetting is a key skill of biological brains, whereas it represents a major challenge to the field of deep learning. To avoid catastrophic forgetting, various continual learning (CL) approaches have been devised. However, these usually require discrete task boundaries. This requirement seems biologically implausible and often limits the application of CL methods in the real world where tasks are not always well defined. Here, we take inspiration from neuroscience, where sparse,...
Source: Biological Cybernetics - August 17, 2023 Category: Science Authors: Francesco L ässig Pau Vilimelis Aceituno Martino Sorbaro Benjamin F Grewe Source Type: research
Bio-inspired, task-free continual learning through activity regularization
Biol Cybern. 2023 Aug 17. doi: 10.1007/s00422-023-00973-w. Online ahead of print.ABSTRACTThe ability to sequentially learn multiple tasks without forgetting is a key skill of biological brains, whereas it represents a major challenge to the field of deep learning. To avoid catastrophic forgetting, various continual learning (CL) approaches have been devised. However, these usually require discrete task boundaries. This requirement seems biologically implausible and often limits the application of CL methods in the real world where tasks are not always well defined. Here, we take inspiration from neuroscience, where sparse,...
Source: Biological Cybernetics - August 17, 2023 Category: Science Authors: Francesco L ässig Pau Vilimelis Aceituno Martino Sorbaro Benjamin F Grewe Source Type: research
Periodic solutions in next generation neural field models
Biol Cybern. 2023 Aug 3. doi: 10.1007/s00422-023-00969-6. Online ahead of print.ABSTRACTWe consider a next generation neural field model which describes the dynamics of a network of theta neurons on a ring. For some parameters the network supports stable time-periodic solutions. Using the fact that the dynamics at each spatial location are described by a complex-valued Riccati equation we derive a self-consistency equation that such periodic solutions must satisfy. We determine the stability of these solutions, and present numerical results to illustrate the usefulness of this technique. The generality of this approach is ...
Source: Biological Cybernetics - August 3, 2023 Category: Science Authors: Carlo R Laing Oleh E Omel'chenko Source Type: research
Periodic solutions in next generation neural field models
Biol Cybern. 2023 Aug 3. doi: 10.1007/s00422-023-00969-6. Online ahead of print.ABSTRACTWe consider a next generation neural field model which describes the dynamics of a network of theta neurons on a ring. For some parameters the network supports stable time-periodic solutions. Using the fact that the dynamics at each spatial location are described by a complex-valued Riccati equation we derive a self-consistency equation that such periodic solutions must satisfy. We determine the stability of these solutions, and present numerical results to illustrate the usefulness of this technique. The generality of this approach is ...
Source: Biological Cybernetics - August 3, 2023 Category: Science Authors: Carlo R Laing Oleh E Omel'chenko Source Type: research
Periodic solutions in next generation neural field models
Biol Cybern. 2023 Aug 3. doi: 10.1007/s00422-023-00969-6. Online ahead of print.ABSTRACTWe consider a next generation neural field model which describes the dynamics of a network of theta neurons on a ring. For some parameters the network supports stable time-periodic solutions. Using the fact that the dynamics at each spatial location are described by a complex-valued Riccati equation we derive a self-consistency equation that such periodic solutions must satisfy. We determine the stability of these solutions, and present numerical results to illustrate the usefulness of this technique. The generality of this approach is ...
Source: Biological Cybernetics - August 3, 2023 Category: Science Authors: Carlo R Laing Oleh E Omel'chenko Source Type: research
Periodic solutions in next generation neural field models
Biol Cybern. 2023 Aug 3. doi: 10.1007/s00422-023-00969-6. Online ahead of print.ABSTRACTWe consider a next generation neural field model which describes the dynamics of a network of theta neurons on a ring. For some parameters the network supports stable time-periodic solutions. Using the fact that the dynamics at each spatial location are described by a complex-valued Riccati equation we derive a self-consistency equation that such periodic solutions must satisfy. We determine the stability of these solutions, and present numerical results to illustrate the usefulness of this technique. The generality of this approach is ...
Source: Biological Cybernetics - August 3, 2023 Category: Science Authors: Carlo R Laing Oleh E Omel'chenko Source Type: research
