Eye smarter than scientists believed: neural computations in circuits of the retina
We rely on our visual system to cope with the vast barrage of incoming light patterns and to
extract features from the scene that are relevant to our well-being. The necessary reduction …
extract features from the scene that are relevant to our well-being. The necessary reduction …
Sensory neural codes using multiplexed temporal scales
Determining how neuronal activity represents sensory information is central for
understanding perception. Recent work shows that neural responses at different timescales …
understanding perception. Recent work shows that neural responses at different timescales …
Slayer: Spike layer error reassignment in time
Abstract Configuring deep Spiking Neural Networks (SNNs) is an exciting research avenue
for low power spike event based computation. However, the spike generation function is non …
for low power spike event based computation. However, the spike generation function is non …
[كتاب][B] Neuronal dynamics: From single neurons to networks and models of cognition
W Gerstner, WM Kistler, R Naud, L Paninski - 2014 - books.google.com
What happens in our brain when we make a decision? What triggers a neuron to send out a
signal? What is the neural code? This textbook for advanced undergraduate and beginning …
signal? What is the neural code? This textbook for advanced undergraduate and beginning …
Thalamic regulation of switching between cortical representations enables cognitive flexibility
Interactions between the prefrontal cortex (PFC) and mediodorsal thalamus are critical for
cognitive flexibility, yet the underlying computations are unknown. To investigate …
cognitive flexibility, yet the underlying computations are unknown. To investigate …
Training deep neural density estimators to identify mechanistic models of neural dynamics
Mechanistic modeling in neuroscience aims to explain observed phenomena in terms of
underlying causes. However, determining which model parameters agree with complex and …
underlying causes. However, determining which model parameters agree with complex and …
[HTML][HTML] Systematic integration of structural and functional data into multi-scale models of mouse primary visual cortex
Structural rules underlying functional properties of cortical circuits are poorly understood. To
explore these rules systematically, we integrated information from extensive literature …
explore these rules systematically, we integrated information from extensive literature …
Deep learning models of the retinal response to natural scenes
A central challenge in sensory neuroscience is to understand neural computations and
circuit mechanisms that underlie the encoding of ethologically relevant, natural stimuli. In …
circuit mechanisms that underlie the encoding of ethologically relevant, natural stimuli. In …
Spatio-temporal correlations and visual signalling in a complete neuronal population
Statistical dependencies in the responses of sensory neurons govern both the amount of
stimulus information conveyed and the means by which downstream neurons can extract it …
stimulus information conveyed and the means by which downstream neurons can extract it …
Encoding and decoding in parietal cortex during sensorimotor decision-making
It has been suggested that the lateral intraparietal area (LIP) of macaques plays a
fundamental role in sensorimotor decision-making. We examined the neural code in LIP at …
fundamental role in sensorimotor decision-making. We examined the neural code in LIP at …