Eye smarter than scientists believed: Neural computations in circuits of the retina

By Tim Gollisch, Markus Meister. Neuron, 2010

762 citations recorded by the source corpus.

Summary 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 of visual information already begins in the eye. In this review, we summarize recent progress in understanding the computations performed in the vertebrate retina and how they are implemented by the neural circuitry. A new picture emerges from these findings that helps resolve a vexing paradox between the retina’s structure and function. Whereas the conventional wisdom treats the eye as a simple pre-filter for visual images, it now appears that the retina solves a diverse set of specific tasks, and provides the results explicitly to downstream brain areas.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/b365e8789ddbeca8ed88553117d4502c365f49c5

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Citations in the corpus

Gate-tunable van der Waals heterostructure for reconfigurable neural network vision sensor (2020, background): “the human brain, such as pattern recognition and interpretation (6).”
Quantum metrology and its application in biology (2014, background): “The uncertainty intrinsic to classical stimulation is compounded as the electrical response from multiple rod cells are combined and processed at the ganglion nerve cells [168], with photon statistics contributing significant variations to the resulting neural signal transmitted to the brain [169, 1”
All-in-one two-dimensional retinomorphic hardware device for motion detection and recognition (2021, background): “The retina eliminates redundant and useless visual input processing and dramatically accelerates the extraction and detection of motion target features through integrated signal perception, memory and processing of advanced visual systems 6 .”
Adaptation and visual coding (2011, background): “…adaptation and patternselective aftereffects is in the synaptic transmission from bipolars to ganglion cells, which might allow the adaptation to alter the pattern of inputs across the bipolars and thus the spatial and temporal properties of the sensitivity change (Gollisch & Meister, 2010).”
HOTS: A Hierarchy of Event-Based Time-Surfaces for Pattern Recognition (2017, background): “However, it has been recently shown that biological retinas operate at temporal precision of 1 kHz (see [6]) because that is where most of the information of everyday scenes are [7].”
The Packet Switching Brain (2011, neutral): “Redrawn from Kleinrock (1976). typical of PSNs (but see Gollisch & Meister, 2010).”
The neuronal organization of the retina. (2012, background): “Although the retina forms a sheet of tissue only 200 mm thick, its neural networks carry out feats of image processing that were unimagined even a few years ago (Gollisch and Meister, 2010).”
A review of modularization techniques in artificial neural networks (2019, background): “In Kien Tuong Phan et al. (2015); Phan et al. (2016, 2017) this topology is named Parallel Circuits (PCs), which are inspired by the microcircuits in the retina (Gollisch and Meister, 2010).”