Looking for cognition in the structure within the noise

Adam Johnson, Andre Fenton, Cliff Kentros, A. David Redish

Research output: Contribution to journalArticle

Abstract

Neural activity in the mammalian CNS is determined by both observable processes, such as sensory stimuli or motor output, and covert, internal cognitive processes that cannot be directly observed. We propose methods to identify these cognitive processes by examining the covert structure within the apparent 'noise' in spike trains. Contemporary analyses of neural codes include encoding (tuning curves derived from spike trains and behavioral, sensory or motor variables), decoding (reconstructing behavioral, sensory or motor variables from spike trains and hypothesized tuning curves) and generative models (predicting the spike trains from hypothesized encoding models and decoded variables). We review examples of each of these processes in hippocampal activity, and propose a general methodology to examine cognitive processes via the identification of dynamic changes in covert variables.

Original languageEnglish (US)
Pages (from-to)55-64
Number of pages10
JournalTrends in Cognitive Sciences
Volume13
Issue number2
DOIs
StatePublished - Feb 2009

Fingerprint

Cognition
Noise

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Experimental and Cognitive Psychology
  • Neuropsychology and Physiological Psychology

Cite this

Looking for cognition in the structure within the noise. / Johnson, Adam; Fenton, Andre; Kentros, Cliff; Redish, A. David.

In: Trends in Cognitive Sciences, Vol. 13, No. 2, 02.2009, p. 55-64.

Research output: Contribution to journalArticle

Johnson, Adam ; Fenton, Andre ; Kentros, Cliff ; Redish, A. David. / Looking for cognition in the structure within the noise. In: Trends in Cognitive Sciences. 2009 ; Vol. 13, No. 2. pp. 55-64.
@article{549c6dc939a74030969930a931f9ba00,
title = "Looking for cognition in the structure within the noise",
abstract = "Neural activity in the mammalian CNS is determined by both observable processes, such as sensory stimuli or motor output, and covert, internal cognitive processes that cannot be directly observed. We propose methods to identify these cognitive processes by examining the covert structure within the apparent 'noise' in spike trains. Contemporary analyses of neural codes include encoding (tuning curves derived from spike trains and behavioral, sensory or motor variables), decoding (reconstructing behavioral, sensory or motor variables from spike trains and hypothesized tuning curves) and generative models (predicting the spike trains from hypothesized encoding models and decoded variables). We review examples of each of these processes in hippocampal activity, and propose a general methodology to examine cognitive processes via the identification of dynamic changes in covert variables.",
author = "Adam Johnson and Andre Fenton and Cliff Kentros and Redish, {A. David}",
year = "2009",
month = "2",
doi = "10.1016/j.tics.2008.11.005",
language = "English (US)",
volume = "13",
pages = "55--64",
journal = "Trends in Cognitive Sciences",
issn = "1364-6613",
publisher = "Elsevier Limited",
number = "2",

}

TY - JOUR

T1 - Looking for cognition in the structure within the noise

AU - Johnson, Adam

AU - Fenton, Andre

AU - Kentros, Cliff

AU - Redish, A. David

PY - 2009/2

Y1 - 2009/2

N2 - Neural activity in the mammalian CNS is determined by both observable processes, such as sensory stimuli or motor output, and covert, internal cognitive processes that cannot be directly observed. We propose methods to identify these cognitive processes by examining the covert structure within the apparent 'noise' in spike trains. Contemporary analyses of neural codes include encoding (tuning curves derived from spike trains and behavioral, sensory or motor variables), decoding (reconstructing behavioral, sensory or motor variables from spike trains and hypothesized tuning curves) and generative models (predicting the spike trains from hypothesized encoding models and decoded variables). We review examples of each of these processes in hippocampal activity, and propose a general methodology to examine cognitive processes via the identification of dynamic changes in covert variables.

AB - Neural activity in the mammalian CNS is determined by both observable processes, such as sensory stimuli or motor output, and covert, internal cognitive processes that cannot be directly observed. We propose methods to identify these cognitive processes by examining the covert structure within the apparent 'noise' in spike trains. Contemporary analyses of neural codes include encoding (tuning curves derived from spike trains and behavioral, sensory or motor variables), decoding (reconstructing behavioral, sensory or motor variables from spike trains and hypothesized tuning curves) and generative models (predicting the spike trains from hypothesized encoding models and decoded variables). We review examples of each of these processes in hippocampal activity, and propose a general methodology to examine cognitive processes via the identification of dynamic changes in covert variables.

UR - http://www.scopus.com/inward/record.url?scp=58749098743&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=58749098743&partnerID=8YFLogxK

U2 - 10.1016/j.tics.2008.11.005

DO - 10.1016/j.tics.2008.11.005

M3 - Article

VL - 13

SP - 55

EP - 64

JO - Trends in Cognitive Sciences

JF - Trends in Cognitive Sciences

SN - 1364-6613

IS - 2

ER -