TY - JOUR
T1 - Ghosts in the Machine II
T2 - Neural correlates of memory interference from the previous trial
AU - Papadimitriou, Charalampos
AU - White, Robert L.
AU - Snyder, Lawrence H.
N1 - Funding Information:
This work is supported by National Eye Institute (grant number R01-EY012135 to L.H.S.), National Institute of Mental Health (grant number 5F31MH094076 to C.P.), and National Science Foundation (grant number T32-NS073547 to C.P.).
Publisher Copyright:
© The Author 2016. Published by Oxford University Press. All rights reserved.
PY - 2017
Y1 - 2017
N2 - Previous memoranda interfere with working memory. For example, spatial memories are biased toward locations memorized on the previous trial. We predicted, based on attractor network models of memory, that activity in the frontal eye fields (FEFs) encoding a previous target location can persist into the subsequent trial and that this ghost will then bias the readout of the current target. Contrary to this prediction, we find that FEF memory representations appear biased away from (not toward) the previous target location. The behavioral and neural data can be reconciled by a model in which receptive fields of memory neurons converge toward remembered locations, much as receptive fields converge toward attended locations. Convergence increases the resources availabletoencode the relevant memoranda and decreases overall errorinthe network, but the residual convergence from the previous trial can give rise to an attractive behavioral bias on the next trial.
AB - Previous memoranda interfere with working memory. For example, spatial memories are biased toward locations memorized on the previous trial. We predicted, based on attractor network models of memory, that activity in the frontal eye fields (FEFs) encoding a previous target location can persist into the subsequent trial and that this ghost will then bias the readout of the current target. Contrary to this prediction, we find that FEF memory representations appear biased away from (not toward) the previous target location. The behavioral and neural data can be reconciled by a model in which receptive fields of memory neurons converge toward remembered locations, much as receptive fields converge toward attended locations. Convergence increases the resources availabletoencode the relevant memoranda and decreases overall errorinthe network, but the residual convergence from the previous trial can give rise to an attractive behavioral bias on the next trial.
KW - Attractor network models
KW - Frontal eye fields
KW - Proactive interference
KW - Receptive field remapping
KW - Spatial working memory
UR - http://www.scopus.com/inward/record.url?scp=85020881908&partnerID=8YFLogxK
U2 - 10.1093/cercor/bhw106
DO - 10.1093/cercor/bhw106
M3 - Article
C2 - 27114176
AN - SCOPUS:85020881908
SN - 1047-3211
VL - 27
SP - 2513
EP - 2527
JO - Cerebral Cortex
JF - Cerebral Cortex
IS - 4
ER -