Efficient "Communication through Coherence" Requires Oscillations Structured to Minimize Interference between Signals

PLoS Computational Biology

Volumn 8, Issue 11, 2012, Pages

  Akam, Thomas E ^a,b   Kullmann, Dimitri M ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b CHAMPALIMAUD CENTRE FOR THE UNKNOWN   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

MODULATION; NEURAL NETWORKS; SIGNAL INTERFERENCE; STOCHASTIC SYSTEMS;

CODED TARGETS; EFFICIENT COMMUNICATIONS; FIRING RATES; GAIN MODULATION; INFORMATION TRANSFERS; NEURAL-NETWORKS; OSCILLATORY MODULATIONS; RATE OSCILLATION; SIMPLE++; TARGET SIGNALS;

SIGNAL TO NOISE RATIO;

ACCURACY; ARTICLE; BRAIN FUNCTION; CONTROLLED STUDY; HYPOTHESIS; MATHEMATICAL COMPUTING; NERVE CELL EXCITABILITY; NERVE CELL NETWORK; NEUROMODULATION; QUANTITATIVE ANALYSIS; RESPONSE TIME; SIGNAL DETECTION; SIGNAL NOISE RATIO; SPIKE WAVE; STIMULUS RESPONSE; STOCHASTIC MODEL; STRUCTURE ANALYSIS; TUNING CURVE;

EID: 84870665637     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002760     Document Type: Article

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