DocumentCode :
1567823
Title :
Reward-predictive value in learning-related hippocampal neural activity
Author :
Okatan, M. ; Komorowski, R. ; Eichenbaum, H.B.
Author_Institution :
Center for Memory & Brain, Boston Univ., Boston, MA
fYear :
2009
Firstpage :
1
Lastpage :
2
Abstract :
We use point process likelihood models to explain the spiking activity of individual hippocampal pyramidal neurons as a function of task-relevant covariates and their temporal difference (TD) reward-predictive value during reinforcement learning. Our results suggest that CA1 and CA3 neurons may signal information about the reward-predictive value of task-relevant signals pertinent to the acquisition of behavioral strategies that maximize reward, with more CA1 but not CA3 neurons doing so during novel versus familiar experiences.
Keywords :
behavioural sciences; brain models; cellular biophysics; cognition; covariance analysis; maximum likelihood estimation; neurophysiology; CA1 neurons; CA3 neurons; behavioral strategies; learning-related hippocampal neural activity; process likelihood model; reinforcement learning; spiking activity; task-relevant covariates; temporal difference reward-predictive value; Brain modeling; Error correction; Hippocampus; Iterative algorithms; Machine learning; Machine learning algorithms; Neurons; Prediction algorithms; Time measurement; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioengineering Conference, 2009 IEEE 35th Annual Northeast
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4362-8
Electronic_ISBN :
978-1-4244-4364-2
Type :
conf
DOI :
10.1109/NEBC.2009.4967723
Filename :
4967723
Link To Document :
بازگشت