Efficient multi-scale representation of visual objects using a biologically plausible spike-latency code and winner-take-all inhibition
Biol Cybern. 2023 Apr 1. doi: 10.1007/s00422-023-00956-x. Online ahead of print.ABSTRACTDeep neural networks have surpassed human performance in key visual challenges such as object recognition, but require a large amount of energy, computation, and memory. In contrast, spiking neural networks (SNNs) have the potential to improve both the efficiency and biological plausibility of object recognition systems. Here we present a SNN model that uses spike-latency coding and winner-take-all inhibition (WTA-I) to efficiently represent visual stimuli using multi-scale parallel processing. Mimicking neuronal response properties in ...
Source: Biological Cybernetics - April 2, 2023 Category: Science Authors: Melani Sanchez-Garcia Tushar Chauhan Benoit R Cottereau Michael Beyeler Source Type: research
Efficient multi-scale representation of visual objects using a biologically plausible spike-latency code and winner-take-all inhibition
Biol Cybern. 2023 Apr 1. doi: 10.1007/s00422-023-00956-x. Online ahead of print.ABSTRACTDeep neural networks have surpassed human performance in key visual challenges such as object recognition, but require a large amount of energy, computation, and memory. In contrast, spiking neural networks (SNNs) have the potential to improve both the efficiency and biological plausibility of object recognition systems. Here we present a SNN model that uses spike-latency coding and winner-take-all inhibition (WTA-I) to efficiently represent visual stimuli using multi-scale parallel processing. Mimicking neuronal response properties in ...
Source: Biological Cybernetics - April 2, 2023 Category: Science Authors: Melani Sanchez-Garcia Tushar Chauhan Benoit R Cottereau Michael Beyeler Source Type: research
Efficient multi-scale representation of visual objects using a biologically plausible spike-latency code and winner-take-all inhibition
Biol Cybern. 2023 Apr 1. doi: 10.1007/s00422-023-00956-x. Online ahead of print.ABSTRACTDeep neural networks have surpassed human performance in key visual challenges such as object recognition, but require a large amount of energy, computation, and memory. In contrast, spiking neural networks (SNNs) have the potential to improve both the efficiency and biological plausibility of object recognition systems. Here we present a SNN model that uses spike-latency coding and winner-take-all inhibition (WTA-I) to efficiently represent visual stimuli using multi-scale parallel processing. Mimicking neuronal response properties in ...
Source: Biological Cybernetics - April 2, 2023 Category: Science Authors: Melani Sanchez-Garcia Tushar Chauhan Benoit R Cottereau Michael Beyeler Source Type: research
Efficient multi-scale representation of visual objects using a biologically plausible spike-latency code and winner-take-all inhibition
Biol Cybern. 2023 Apr 1. doi: 10.1007/s00422-023-00956-x. Online ahead of print.ABSTRACTDeep neural networks have surpassed human performance in key visual challenges such as object recognition, but require a large amount of energy, computation, and memory. In contrast, spiking neural networks (SNNs) have the potential to improve both the efficiency and biological plausibility of object recognition systems. Here we present a SNN model that uses spike-latency coding and winner-take-all inhibition (WTA-I) to efficiently represent visual stimuli using multi-scale parallel processing. Mimicking neuronal response properties in ...
Source: Biological Cybernetics - April 2, 2023 Category: Science Authors: Melani Sanchez-Garcia Tushar Chauhan Benoit R Cottereau Michael Beyeler Source Type: research
Validating models of sensory conflict and perception for motion sickness prediction
In this study, the subjective vertical model, the multi-sensory observer model and the probabilistic particle filter model were all validated for their ability to predict motion perception and sickness, across a large set of motion paradigms of varying complexity from literature. It was found that even though the models provided a good match for the perception paradigms studied, they could not be made to capture the full range of motion sickness observations. The resolution of the gravito-inertial ambiguity has been identified to require further attention, as key model parameters selected to match perception data did not o...
Source: Biological Cybernetics - March 27, 2023 Category: Science Authors: Tugrul Irmak Daan M Pool Ksander N de Winkel Riender Happee Source Type: research
Validating models of sensory conflict and perception for motion sickness prediction
In this study, the subjective vertical model, the multi-sensory observer model and the probabilistic particle filter model were all validated for their ability to predict motion perception and sickness, across a large set of motion paradigms of varying complexity from literature. It was found that even though the models provided a good match for the perception paradigms studied, they could not be made to capture the full range of motion sickness observations. The resolution of the gravito-inertial ambiguity has been identified to require further attention, as key model parameters selected to match perception data did not o...
Source: Biological Cybernetics - March 27, 2023 Category: Science Authors: Tugrul Irmak Daan M Pool Ksander N de Winkel Riender Happee Source Type: research
Validating models of sensory conflict and perception for motion sickness prediction
In this study, the subjective vertical model, the multi-sensory observer model and the probabilistic particle filter model were all validated for their ability to predict motion perception and sickness, across a large set of motion paradigms of varying complexity from literature. It was found that even though the models provided a good match for the perception paradigms studied, they could not be made to capture the full range of motion sickness observations. The resolution of the gravito-inertial ambiguity has been identified to require further attention, as key model parameters selected to match perception data did not o...
Source: Biological Cybernetics - March 27, 2023 Category: Science Authors: Tugrul Irmak Daan M Pool Ksander N de Winkel Riender Happee Source Type: research
Validating models of sensory conflict and perception for motion sickness prediction
In this study, the subjective vertical model, the multi-sensory observer model and the probabilistic particle filter model were all validated for their ability to predict motion perception and sickness, across a large set of motion paradigms of varying complexity from literature. It was found that even though the models provided a good match for the perception paradigms studied, they could not be made to capture the full range of motion sickness observations. The resolution of the gravito-inertial ambiguity has been identified to require further attention, as key model parameters selected to match perception data did not o...
Source: Biological Cybernetics - March 27, 2023 Category: Science Authors: Tugrul Irmak Daan M Pool Ksander N de Winkel Riender Happee Source Type: research
Validating models of sensory conflict and perception for motion sickness prediction
In this study, the subjective vertical model, the multi-sensory observer model and the probabilistic particle filter model were all validated for their ability to predict motion perception and sickness, across a large set of motion paradigms of varying complexity from literature. It was found that even though the models provided a good match for the perception paradigms studied, they could not be made to capture the full range of motion sickness observations. The resolution of the gravito-inertial ambiguity has been identified to require further attention, as key model parameters selected to match perception data did not o...
Source: Biological Cybernetics - March 27, 2023 Category: Science Authors: Tugrul Irmak Daan M Pool Ksander N de Winkel Riender Happee Source Type: research
Validating models of sensory conflict and perception for motion sickness prediction
In this study, the subjective vertical model, the multi-sensory observer model and the probabilistic particle filter model were all validated for their ability to predict motion perception and sickness, across a large set of motion paradigms of varying complexity from literature. It was found that even though the models provided a good match for the perception paradigms studied, they could not be made to capture the full range of motion sickness observations. The resolution of the gravito-inertial ambiguity has been identified to require further attention, as key model parameters selected to match perception data did not o...
Source: Biological Cybernetics - March 27, 2023 Category: Science Authors: Tugrul Irmak Daan M Pool Ksander N de Winkel Riender Happee Source Type: research
Editorial board of biological cybernetics: advances in computational neuroscience
Biol Cybern. 2023 Mar 22. doi: 10.1007/s00422-023-00958-9. Online ahead of print.NO ABSTRACTPMID:36947172 | DOI:10.1007/s00422-023-00958-9 (Source: Biological Cybernetics)
Source: Biological Cybernetics - March 22, 2023 Category: Science Source Type: research
Editorial board of biological cybernetics: advances in computational neuroscience
Biol Cybern. 2023 Mar 22. doi: 10.1007/s00422-023-00958-9. Online ahead of print.NO ABSTRACTPMID:36947172 | DOI:10.1007/s00422-023-00958-9 (Source: Biological Cybernetics)
Source: Biological Cybernetics - March 22, 2023 Category: Science Source Type: research
Editorial board of biological cybernetics: advances in computational neuroscience
Biol Cybern. 2023 Mar 22. doi: 10.1007/s00422-023-00958-9. Online ahead of print.NO ABSTRACTPMID:36947172 | DOI:10.1007/s00422-023-00958-9 (Source: Biological Cybernetics)
Source: Biological Cybernetics - March 22, 2023 Category: Science Source Type: research
Editorial board of biological cybernetics: advances in computational neuroscience
Biol Cybern. 2023 Mar 22. doi: 10.1007/s00422-023-00958-9. Online ahead of print.NO ABSTRACTPMID:36947172 | DOI:10.1007/s00422-023-00958-9 (Source: Biological Cybernetics)
Source: Biological Cybernetics - March 22, 2023 Category: Science Source Type: research
Controlling stick balancing on a linear track: Delayed state feedback or delay-compensating predictor feedback?
Biol Cybern. 2023 Mar 21. doi: 10.1007/s00422-023-00957-w. Online ahead of print.ABSTRACTA planar stick balancing task was investigated using stabilometry parameters (SP); a concept initially developed to assess the stability of human postural sway. Two subject groups were investigated: 6 subjects (MD) with many days of balancing a 90 cm stick on a linear track and 25 subjects (OD) with only one day of balancing experience. The underlying mechanical model is a pendulum-cart system. Two control force models were investigated by means of numerical simulations: (1) delayed state feedback (DSF); and (2) delay-compensating pred...
Source: Biological Cybernetics - March 21, 2023 Category: Science Authors: Dalma J Nagy John G Milton Tamas Insperger Source Type: research
