Nature Neuroscience, Journal Year: 2015, Volume and Issue: 18(8), P. 1101 - 1108
Published: June 22, 2015
Language: Английский
Nature Neuroscience, Journal Year: 2015, Volume and Issue: 18(8), P. 1101 - 1108
Published: June 22, 2015
Language: Английский
Neuron, Journal Year: 2016, Volume and Issue: 91(2), P. 260 - 292
Published: July 1, 2016
Language: Английский
Citations
1882Annual Review of Neuroscience, Journal Year: 2020, Volume and Issue: 43(1), P. 95 - 117
Published: Feb. 20, 2020
Synaptic plasticity, the activity-dependent change in neuronal connection strength, has long been considered an important component of learning and memory. Computational engineering work corroborate power through directed adjustment weights. Here we review fundamental elements four broadly categorized forms synaptic plasticity discuss their functional capabilities limitations. Although standard, correlation-based, Hebbian primary focus neuroscientists for decades, it is inherently limited. Three-factor rules supplement with neuromodulation eligibility traces, while true supervised types go even further by adding objectives instructive signals. Finally, a recently discovered hippocampal form combines above elements, leaving behind requirement. We suggest that effort to determine neural basis adaptive behavior could benefit from renewed experimental theoretical investigation more powerful plasticity.
Language: Английский
Citations
601Nature Neuroscience, Journal Year: 2015, Volume and Issue: 18(8), P. 1133 - 1142
Published: July 13, 2015
Language: Английский
Citations
528Nature Neuroscience, Journal Year: 2015, Volume and Issue: 18(12), P. 1713 - 1721
Published: Nov. 25, 2015
Language: Английский
Citations
472Nature Neuroscience, Journal Year: 2017, Volume and Issue: 20(12), P. 1669 - 1679
Published: Nov. 9, 2017
Language: Английский
Citations
457Annual Review of Neuroscience, Journal Year: 2015, Volume and Issue: 38(1), P. 195 - 219
Published: April 21, 2015
Synapses are highly plastic and modified by changes in patterns of neural activity or sensory experience. Plasticity cortical excitatory synapses is thought to be important for learning memory, leading alterations representations cognitive maps. However, these must coordinated across other within local circuits preserve coding schemes the organization inhibitory inputs, i.e., excitatory-inhibitory balance. Recent studies indicate that also controlled directly a large number neuromodulators, particularly during episodes learning. Many modulators transiently alter balance decreasing inhibition, thus disinhibition has emerged as major mechanism which neuromodulation might enable long-term synaptic modifications naturally. This review examines relationships between plasticity, focusing on induction collectively enhance improving perception behavior.
Language: Английский
Citations
444Science, Journal Year: 2016, Volume and Issue: 354(6319), P. 1587 - 1590
Published: Dec. 22, 2016
Now you feel it, now don't What determines the detection of a sensory stimulus? To address this question, Takahashi et al. combined in vivo two-photon imaging, electrophysiology, optogenetics, and behavioral analysis study mice. Calcium signals apical dendrites pyramidal neurons somatosensory cortex controlled perceptual threshold mice's whiskers. Strong reduction dendritic calcium signaling impaired so that an identical stimulus could no longer be noticed. Science , issue p. 1587
Language: Английский
Citations
412eLife, Journal Year: 2020, Volume and Issue: 9
Published: Dec. 14, 2020
Making inferences about the computations performed by neuronal circuits from synapse-level connectivity maps is an emerging opportunity in neuroscience. The mushroom body (MB) well positioned for developing and testing such approach due to its conserved architecture, recently completed dense connectome, extensive prior experimental studies of roles learning, memory, activity regulation. Here, we identify new components MB circuit Drosophila, including visual input output neurons (MBONs) with direct connections descending neurons. We find unexpected structure sensory inputs, transfer information different modalities MBONs, modulation that dopaminergic (DANs). provide insights into circuitry used integrate outputs, between central complex inputs DANs, feedback MBONs. Our results a foundation further theoretical work.
Language: Английский
Citations
348Cell, Journal Year: 2020, Volume and Issue: 180(4), P. 666 - 676.e13
Published: Feb. 1, 2020
The mystery of general anesthesia is that it specifically suppresses consciousness by disrupting feedback signaling in the brain, even when feedforward and basic neuronal function are left relatively unchanged. mechanism for such selectiveness unknown. Here we show three different anesthetics have same disruptive influence on along apical dendrites cortical layer 5 pyramidal neurons mice. We found optogenetic depolarization distal caused robust spiking at cell body under awake conditions was blocked anesthesia. Moreover, blocking metabotropic glutamate cholinergic receptors had effect dendrite decoupling as or inactivation higher-order thalamus. If occurs predominantly through dendrites, cellular would explain not only how selectively blocks this but also why conscious perception depends both cortico-cortical thalamo-cortical connectivity.
Language: Английский
Citations
304Nature Neuroscience, Journal Year: 2016, Volume and Issue: 19(8), P. 1003 - 1009
Published: June 13, 2016
Language: Английский
Citations
280