Publication

A New Approach towards Vision Suggested by Biologically Realistic Neural Microcircuit Models

2002
Conference Papers

Abstract

We propose an alternative paradigm for processing time-varying visual inputs, in particular for tasks involving temporal and spatial integration, which is inspired by hypotheses about the computational role of cortical microcircuits. Since detailed knowledge about the precise structure of the microcircuit is not needed for that, it can in principle also be implemented with partially unknown or faulty analog hardware. In addition, this approach supports parallel realtime processing of time-varying visual inputs for diverse tasks, since different readouts can be trained to extract concurrently from the same microcircuit completely different information components

Official source

https://infoscience.epfl.ch/entities/publication/3192853c-4aa6-4fce-9802-812644f1e062

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2002
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/3192853c-4aa6-4fce-9802-812644f1e062

About this result

Related concepts (32)

Visual cortex

The visual cortex of the brain is the area of the cerebral cortex that processes visual information. It is located in the occipital lobe. Sensory input originating from the eyes travels through the lateral geniculate nucleus in the thalamus and then reaches the visual cortex. The area of the visual cortex that receives the sensory input from the lateral geniculate nucleus is the primary visual cortex, also known as visual area 1 (V1), Brodmann area 17, or the striate cortex.

Neuromorphic engineering

Neuromorphic computing is an approach to computing that is inspired by the structure and function of the human brain. A neuromorphic computer/chip is any device that uses physical artificial neurons to do computations. In recent times, the term neuromorphic has been used to describe analog, digital, mixed-mode analog/digital VLSI, and software systems that implement models of neural systems (for perception, motor control, or multisensory integration).

Object recognition (cognitive science)

Visual object recognition refers to the ability to identify the objects in view based on visual input. One important signature of visual object recognition is "object invariance", or the ability to identify objects across changes in the detailed context in which objects are viewed, including changes in illumination, object pose, and background context. Neuropsychological evidence affirms that there are four specific stages identified in the process of object recognition.

Related publications (3)

A New Approach towards Vision Suggested by Biologically Realistic Neural Microcircuit Models

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