DocumentCode :
3421473
Title :
A point process analysis of sensory encoding
Author :
Stanley, Garrett B. ; Webber, Roxanna M.
Author_Institution :
Div. of Eng. & Appl. Sci., Harvard Univ., Cambridge, MA, USA
fYear :
2003
fDate :
20-22 March 2003
Firstpage :
273
Lastpage :
276
Abstract :
Nowhere is the sparse nature of neuronal coding more evident than in the sensory cortex, where neuronal response becomes increasingly tuned to specific features of the sensory environment. For such situations, where rate modulation schemes do not accurately describe the neuronal response to sensory stimuli, statistical descriptions based on point process events are particularly appropriate. Intensity measures derived from experimental data in the rat somatosensory cortex enable the direct analysis of statistical structure within spike trains, as well as inter-relationships between tactile stimuli and neuronal response. Intensity measures capture structure in spontaneous as well as driven activity, and provide a means for simulation and/or prediction. Second order intensities reveal strong dependencies upon temporal patterns of tactile stimulation, which are at least partly responsible for frequency dependent adaptation characteristics in neuronal response.
Keywords :
brain models; neurophysiology; somatosensory phenomena; step response; stochastic processes; driven activity; neuronal coding; neuronal response; point process analysis; pronounced adaptation; rat somatosensory cortex; second order intensities; sensory encoding; single unit recordings; spike trains; spontaneous activity; statistical structure; step response; stochastic model; tactile stimulation; tactile stimuli; temporal patterns; vibrissa deflection; Animals; Brain modeling; Encoding; Frequency; Microelectrodes; Piezoelectric actuators; Predictive models; Rats; Rodents; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Engineering, 2003. Conference Proceedings. First International IEEE EMBS Conference on
Print_ISBN :
0-7803-7579-3
Type :
conf
DOI :
10.1109/CNE.2003.1196813
Filename :
1196813
Link To Document :
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