Adaptive coding of visual information in neural populations

  title={Adaptive coding of visual information in neural populations},
  author={Diego A. Gutnisky and Valentin Dragoi},
Our perception of the environment relies on the capacity of neural networks to adapt rapidly to changes in incoming stimuli. It is increasingly being realized that the neural code is adaptive, that is, sensory neurons change their responses and selectivity in a dynamic manner to match the changes in input stimuli. Understanding how rapid exposure, or adaptation, to a stimulus of fixed structure changes information processing by cortical networks is essential for understanding the relationship… 

The effect of neural adaptation on population coding accuracy

The coding accuracy is calculated using a computational model that implements two forms of adaptation: spike frequency adaptation and synaptic adaptation in the form of short-term synaptic plasticity and finds that the net effect of adaptation is subtle and heterogeneous.

Rapid Adaptation Induces Persistent Biases in Population Codes for Visual Motion

The complete cascade of adaptation-induced effects in sensory encoding is described and how they predict population decoding errors consistent with perceptual biases are shown, suggesting that neural and perceptual repulsion is not a mechanism to enhance perceptual performance but is instead a necessary consequence of optimizing neural encoding for the identification of a wide range of stimulus properties in diverse temporal contexts.

Spontaneous Fluctuations in Visual Cortical Responses Influence Population Coding Accuracy

Investigating whether and how the information encoded by individual neurons and populations in primary visual cortex depends on the ongoing activity before stimulus presentation reports that when individual neurons are in a “low” prestimulus state, they have a higher capacity to discriminate stimulus features despite their reduction in evoked responses.

Suppressive recurrent and feedback computations for adaptive processing in the human brain

UHF imaging provides evidence for a circuit of local recurrent and feedback interactions that mediate rapid brain plasticity for adaptive information processing, and shows dissociable connectivity mechanisms for adaptive processing.

Adaptation of Thalamic Neurons Provides Information about the Spatiotemporal Context of Stimulus History

The present work provides a computational framework that demonstrates how adaptation allows neurons to encode spatiotemporal dynamics of stimulus history and quantified the impact of adaptation on the information conveyed by thalamic neurons about paired whisker stimuli in male rat.

Perceptual and neural consequences of rapid motion adaptation

The motion aftereffect is shown to be a reflection of rapid neural and perceptual processes that can occur essentially every time the authors experience motion, and a simple model shows that these neural responses can explain the consequences of rapid perceptual adaptation.

Adaptation maintains population homeostasis in primary visual cortex

It is concluded that adaptation in V1 acts as a mechanism of homeostasis, enforcing a tendency toward equality and independence in neural activity across the population.

Adaptation-induced synchronization in laminar cortical circuits

It is shown that brief exposure to a stimulus of fixed orientation modulates the strength of synchronization between individual neurons and local population activity in the gamma-band frequency in macaque primary visual cortex (V1) and influences the ability of individual neurons to encode stimulus orientation.

Adaptation Improves Neural Coding Efficiency Despite Increasing Correlations in Variability

Interestingly, across all population sizes, the net effect of adaptation was to increase the total information despite increasing the noise correlation between neurons, which is detrimental to coding efficiency.

Integration of cortical population signals for visual perception

It is shown that optogenetic stimulation of neurons situated near the visually-driven population leads to improved orientation detection in monkeys through changes in correlated variability, suggesting that correlation changes represent a hallmark of signal integration.



Adaptive filtering enhances information transmission in visual cortex

A new information-theoretic method is applied that allows unbiased calculation of neural filters (receptive fields) from responses to natural scenes or other complex signals with strong multipoint correlations and finds that neural filters adaptively change with the input ensemble so as to increase the information carried by the neural response about the filtered stimulus.

Rapid adaptation and efficient coding.

Rapid adaptation in visual cortex to the structure of images.

Complex cells in striate cortex of macaque showed a rapid pattern-specific adaptation that reduced correlations among the responses of populations of cells, thereby increasing the information transmitted by each action potential.

Stimulus Dependence of Neuronal Correlation in Primary Visual Cortex of the Macaque

The results suggest that correlated responsivity arises from mechanisms operating at two distinct timescales: one that is orientation tuned and that determines the strength of temporally precise synchrony, and a second that is contrast sensitive, of low temporal frequency, and present in ongoing cortical activity.

Dynamics of neuronal sensitivity in visual cortex and local feature discrimination

This work examined the perceived changes in orientation induced by brief exposure to oriented image patterns in monkeys and humans, and used reverse correlation to investigate dynamic changes in neuronal sensitivity in the primary visual cortex (V1) of behaving monkeys.