The neuronal encoding of information in the brain

@article{Rolls2011TheNE,
  title={The neuronal encoding of information in the brain},
  author={Edmund T. Rolls and Alessandro Treves},
  journal={Progress in Neurobiology},
  year={2011},
  volume={95},
  pages={448-490}
}
  • E. Rolls, A. Treves
  • Published 1 November 2011
  • Biology, Computer Science
  • Progress in Neurobiology

The neuronal representation of information in the human brain

TLDR
The book Single Neuron Studies of the Human Brain Probing Cognition edited by Fried, Rutishauser, Cerf and Kreiman is important, for it reviews what is now being discovered from recordings from single neurons in humans, performed as part of a programme of clinical treatment, and even a little evidence of this type may help to show how the detailed studies in the non-human primate cortex are providing evidence that is relevant to understanding the human brain.

The neuronal representation of information in the human brain

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Noise in Attractor Networks in the Brain Produced by Graded Firing Rate Representations

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A thesaurus for a neural population code

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Sparse and distributed coding of episodic memory in neurons of the human hippocampus

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The representation of episodic memory in hippocampal neurons of nine epilepsy patients undergoing intracranial monitoring as they discriminated between recently studied words and new words on a recognition test was investigated and found evidence consistent with sparse distributed coding in the hippocampus.

Emergence of transformation-tolerant representations of visual objects in rat lateral extrastriate cortex

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It is found that neurons located along the progression of extrastriate areas that, in the rat brain, run laterally to primary visual cortex, encode object information, with a progressive functional specialization of neural responses along these areas.

The storage and recall of memories in the hippocampo-cortical system

  • E. Rolls
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  • 2017
TLDR
A quantitative computational theory of the operation of the hippocampus as an episodic memory system as well as tests of the theory including hippocampal subregion analyses and hippocampal NMDA receptor knockouts are described and support the theory.

Two-population model for medial temporal lobe neurons: The vast majority are almost silent.

TLDR
A new statistical method is proposed for analysis of the data that gives a more powerful way to analyze how close data are to the concept-cell idea, and shows that a conventional model where a single sparsity is postulated for all neurons gives an extremely poor fit to the data.
...

References

SHOWING 1-10 OF 211 REFERENCES

Information encoding in the inferior temporal visual cortex: contributions of the firing rates and the correlations between the firing of neurons

TLDR
Almost all the information about which of 20 stimuli had been shown in a visual fixation task was present in the number of spikes emitted by each neuron, with stimulus-dependent cross-correlation effects adding for most sets of simultaneously recorded neurons almost no additional information.

The relative advantages of sparse versus distributed encoding for associative neuronal networks in the brain

TLDR
The extent to which this statement is valid in general is discussed here, by considering some simple formal models of associative memory which include different neurobiological constraints.

Information encoding and the responses of single neurons in the primate temporal visual cortex.

TLDR
Analysis of spike trains of single neurons recorded in the temporal lobe visual cortical areas of rhesus macaques provided evidence that a short period of firing taken close to the start of the neuronal response provides a reasonable proportion of the total information that would be available if a long period of neuronal firing were utilized.

Information encoding in short firing rate epochs by single neurons in the primate temporal visual cortex

TLDR
It is found that at least for rapid object recognition, each cortical stage provides information to the next in a short period of 20–50 msec, does not rely on temporal encoding, and completes sufficient computation to provide an output to thenext stage in this same 20- to 50-msec period.

Object perception in natural scenes: encoding by inferior temporal cortex simultaneously recorded neurons.

TLDR
The quantitatively small contribution of spike timing to the overall information available in spike patterns suggests that information encoding about which stimulus was shown by inferior temporal neurons is achieved mainly by rate coding, making spike counts an efficient population code with a high encoding capacity.

Firing Rate Distributions and Efficiency of Information Transmission of Inferior Temporal Cortex Neurons to Natural Visual Stimuli

TLDR
It is shown that the neurons are moderately efficient at transmitting information but not optimally efficient, and an alternative simple model of spike count distributions is developed.

Information flow and temporal coding in primate pattern vision

TLDR
Time-resolved calculations of the information transmitted about visual patterns by neurons in primary visual and inferior temporal cortices impose strong constraints on the codes used by these neurons.

Decoding cortical neuronal signals: Network models, information estimation and spatial tuning

TLDR
It is found that each neuron encodes information about many features at multiple scales in the primary visual cortex of awake monkeys, and that a feed-forward neural network proved to be the best of these models.

Spike-based strategies for rapid processing

The Variable Discharge of Cortical Neurons: Implications for Connectivity, Computation, and Information Coding

TLDR
It is suggested that quantities are represented as rate codes in ensembles of 50–100 neurons, which implies that single neurons perform simple algebra resembling averaging, and that more sophisticated computations arise by virtue of the anatomical convergence of novel combinations of inputs to the cortical column from external sources.
...