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Topic: empirical results

Seminar
2 seminars

In Cognition and Neuroscience

Seminar · Computational Neuroscience

From spikes to factors: understanding large-scale neural computations

Mark M. Churchland · Columbia University, New York, USA

Thu, Apr 6, 2023 · 14:00 UTC

It is widely accepted that human cognition is the product of spiking neurons. Yet even for basic cognitive functions, such as the ability to make decisions or prepare and execute a voluntary movement, the gap between spikes and computation is vast. Only for very simple circuits and reflexes can one explain computations neuron-by-neuron and spike-by-spike. This approach becomes infeasible when neurons are numerous the flow of information is recurrent. To understand computation, one thus requires appropriate abstractions. An increasingly common abstraction is the neural ‘factor’. Factors are ce

Seminar · Vision Science

Human reconstruction of local image structure from natural scenes

Peter Neri · École Normale Supérieure

Tue, Jun 16, 2020 · 13:00 UTC

Retinal projections often poorly represent the structure of the physical world: well-defined boundaries within the eye may correspond to irrelevant features of the physical world, while critical features of the physical world may be nearly invisible at the retinal projection. Visual cortex is equipped with specialized mechanisms for sorting these two types of features according to their utility in interpreting the scene, however we know little or nothing about their perceptual computations. I will present novel paradigms for the characterization of these processes in human vision, alongside ex