Reading spike timing without a clock
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Reading spike timing without a clock : intrinsic decoding of spike trains. / Panzeri, Stefano; Ince, Robin A A; Diamond, Mathew E; Kayser, Christoph.
In: PHILOS T R SOC B, Vol. 369, No. 1637, 05.03.2014, p. 20120467.Research output: SCORING: Contribution to journal › SCORING: Review article › Research
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TY - JOUR
T1 - Reading spike timing without a clock
T2 - intrinsic decoding of spike trains
AU - Panzeri, Stefano
AU - Ince, Robin A A
AU - Diamond, Mathew E
AU - Kayser, Christoph
PY - 2014/3/5
Y1 - 2014/3/5
N2 - The precise timing of action potentials of sensory neurons relative to the time of stimulus presentation carries substantial sensory information that is lost or degraded when these responses are summed over longer time windows. However, it is unclear whether and how downstream networks can access information in precise time-varying neural responses. Here, we review approaches to test the hypothesis that the activity of neural populations provides the temporal reference frames needed to decode temporal spike patterns. These approaches are based on comparing the single-trial stimulus discriminability obtained from neural codes defined with respect to network-intrinsic reference frames to the discriminability obtained from codes defined relative to the experimenter's computer clock. Application of this formalism to auditory, visual and somatosensory data shows that information carried by millisecond-scale spike times can be decoded robustly even with little or no independent external knowledge of stimulus time. In cortex, key components of such intrinsic temporal reference frames include dedicated neural populations that signal stimulus onset with reliable and precise latencies, and low-frequency oscillations that can serve as reference for partitioning extended neuronal responses into informative spike patterns.
AB - The precise timing of action potentials of sensory neurons relative to the time of stimulus presentation carries substantial sensory information that is lost or degraded when these responses are summed over longer time windows. However, it is unclear whether and how downstream networks can access information in precise time-varying neural responses. Here, we review approaches to test the hypothesis that the activity of neural populations provides the temporal reference frames needed to decode temporal spike patterns. These approaches are based on comparing the single-trial stimulus discriminability obtained from neural codes defined with respect to network-intrinsic reference frames to the discriminability obtained from codes defined relative to the experimenter's computer clock. Application of this formalism to auditory, visual and somatosensory data shows that information carried by millisecond-scale spike times can be decoded robustly even with little or no independent external knowledge of stimulus time. In cortex, key components of such intrinsic temporal reference frames include dedicated neural populations that signal stimulus onset with reliable and precise latencies, and low-frequency oscillations that can serve as reference for partitioning extended neuronal responses into informative spike patterns.
KW - Action Potentials/physiology
KW - Humans
KW - Information Theory
KW - Models, Neurological
KW - Sensory Receptor Cells/physiology
KW - Somatosensory Cortex/physiology
KW - Time Factors
KW - Time Perception/physiology
U2 - 10.1098/rstb.2012.0467
DO - 10.1098/rstb.2012.0467
M3 - SCORING: Review article
C2 - 24446501
VL - 369
SP - 20120467
JO - PHILOS T R SOC B
JF - PHILOS T R SOC B
SN - 0962-8436
IS - 1637
ER -