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Institution

Picower Institute for Learning and Memory

About: Picower Institute for Learning and Memory is a based out in . It is known for research contribution in the topics: Synaptic plasticity & Visual cortex. The organization has 760 authors who have published 1159 publications receiving 114313 citations.


Papers
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Journal ArticleDOI
04 Jun 2009-Nature
TL;DR: The timing of a sensory input relative to a gamma cycle determined the amplitude and precision of evoked responses and provided the first causal evidence that distinct network activity states can be induced in vivo by cell-type-specific activation.
Abstract: Corticalgammaoscillations(20280Hz)predictincreasesinfocusedattention,andfailureingammaregulationisahallmark of neurological and psychiatric disease. Current theory predicts that gamma oscillations are generated by synchronous activity of fast-spiking inhibitory interneurons, with the resulting rhythmic inhibition producing neural ensemble synchrony by generating a narrow window for effective excitation. We causally tested these hypotheses in barrel cortex in vivo by targeting optogenetic manipulation selectively to fast-spiking interneurons. Here we show that light-driven activation of fast-spiking interneurons atvariedfrequencies (82200Hz) selectivelyamplifies gamma oscillations. Incontrast, pyramidal neuron activation amplifies only lower frequency oscillations, a cell-type-specific double dissociation. We found that the timing of a sensory input relative to a gamma cycle determined the amplitude and precision of evoked responses. Our data directly support the fast-spiking-gamma hypothesis and provide the first causal evidence that distinct network activity states can be induced in vivo by cell-type-specific activation.

2,453 citations

Journal ArticleDOI
30 Mar 2007-Science
TL;DR: The result indicates that top-down and bottom-up signals arise from the frontal and sensory cortex, respectively, and different modes of attention may emphasize synchrony at different frequencies.
Abstract: Attention can be focused volitionally by "top-down" signals derived from task demands and automatically by "bottom-up" signals from salient stimuli. The frontal and parietal cortices are involved, but their neural activity has not been directly compared. Therefore, we recorded from them simultaneously in monkeys. Prefrontal neurons reflected the target location first during top-down attention, whereas parietal neurons signaled it earlier during bottom-up attention. Synchrony between frontal and parietal areas was stronger in lower frequencies during top-down attention and in higher frequencies during bottom-up attention. This result indicates that top-down and bottom-up signals arise from the frontal and sensory cortex, respectively, and different modes of attention may emphasize synchrony at different frequencies.

2,086 citations

Journal ArticleDOI
25 Aug 2006-Science
TL;DR: It is found that one-trial inhibitory avoidance learning in rats produced the same changes in hippocampal glutamate receptors as induction of LTP with HFS and caused a spatially restricted increase in the amplitude of evoked synaptic transmission in CA1 in vivo.
Abstract: Years of intensive investigation have yielded a sophisticated understanding of long-term potentiation (LTP) induced in hippocampal area CA1 by high-frequency stimulation (HFS). These efforts have been motivated by the belief that similar synaptic modifications occur during memory formation, but it has never been shown that learning actually induces LTP in CA1. We found that one-trial inhibitory avoidance learning in rats produced the same changes in hippocampal glutamate receptors as induction of LTP with HFS and caused a spatially restricted increase in the amplitude of evoked synaptic transmission in CA1 in vivo. Because the learning-induced synaptic potentiation occluded HFS-induced LTP, we conclude that inhibitory avoidance training induces LTP in CA1.

1,818 citations

Journal ArticleDOI
TL;DR: It is found that spiking patterns not only in the cortex but also in the hippocampus were organized into frames, defined as periods of stepwise increase in neuronal population activity.
Abstract: Sleep replay of awake experience in the cortex and hippocampus has been proposed to be involved in memory consolidation. However, whether temporally structured replay occurs in the cortex and whether the replay events in the two areas are related are unknown. Here we studied multicell spiking patterns in both the visual cortex and hippocampus during slow-wave sleep in rats. We found that spiking patterns not only in the cortex but also in the hippocampus were organized into frames, defined as periods of stepwise increase in neuronal population activity. The multicell firing sequences evoked by awake experience were replayed during these frames in both regions. Furthermore, replay events in the sensory cortex and hippocampus were coordinated to reflect the same experience. These results imply simultaneous reactivation of coherent memory traces in the cortex and hippocampus during sleep that may contribute to or reflect the result of the memory consolidation process.

1,530 citations

Journal ArticleDOI
30 Mar 2006-Nature
TL;DR: It is reported that sequential replay occurs in the rat hippocampus during awake periods immediately after spatial experience, which has a unique form, in which recent episodes of spatial experience are replayed in a temporally reversed order.
Abstract: The hippocampus has long been known to be involved in spatial navigational learning in rodents, and in memory for events in rodents, primates and humans. A unifying property of both navigation and event memory is a requirement for dealing with temporally sequenced information. Reactivation of temporally sequenced memories for previous behavioural experiences has been reported in sleep in rats. Here we report that sequential replay occurs in the rat hippocampus during awake periods immediately after spatial experience. This replay has a unique form, in which recent episodes of spatial experience are replayed in a temporally reversed order. This replay is suggestive of a role in the evaluation of event sequences in the manner of reinforcement learning models. We propose that such replay might constitute a general mechanism of learning and memory.

1,516 citations


Authors

Showing all 760 results

NameH-indexPapersCitations
Susumu Tonegawa15041679814
Stephen J. Lippard141120189269
Morgan Sheng13125860410
Li-Huei Tsai11635657991
Rachael L. Neve10937845407
Mark F. Bear10329951024
Edward S. Boyden9252338803
Robert Chen9048432984
Emery N. Brown8957132588
Mriganka Sur8832327646
Jean-Jacques E. Slotine8140051351
Earl K. Miller7720441667
Ken-ichi Okamoto6638721163
Matthew A. Wilson6015927144
Jeanne F. Loring6017714503
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20221
2021108
2020112
201994
201866
201781