Why neurons mix: high dimensionality for higher cognition.
about
Transformation of spatiotemporal dynamics in the macaque vestibular system from otolith afferents to cortex.Differential Encoding of Time by Prefrontal and Striatal Network Dynamics.On memories, neural ensembles and mental flexibility.Distributed representations of action sequences in anterior cingulate cortex: A recurrent neural network approach.Multiplex visibility graphs to investigate recurrent neural network dynamics.Oscillatory Dynamics of Prefrontal Cognitive Control.Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation.Which way and how far? Tracking of translation and rotation information for human path integration.A Designer AAV Variant Permits Efficient Retrograde Access to Projection Neurons.Distributed and Mixed Information in Monosynaptic Inputs to Dopamine Neurons.Beyond the Status Quo: A Role for Beta Oscillations in Endogenous Content (Re)ActivationCortical Variability and Challenges for Modeling Approaches.Electrosensory neural responses to natural electro-communication stimuli are distributed along a continuumSpatiotemporal dynamics of information encoding revealed in orbitofrontal high-gamma.Hierarchical differences in population coding within auditory cortex.Cell types for our sense of location: where we are and where we are going.Partially Mixed Selectivity in Human Posterior Parietal Association Cortex.Mixed selectivity morphs population codes in prefrontal cortex.A Multiplexed, Heterogeneous, and Adaptive Code for Navigation in Medial Entorhinal Cortex.Robust mixture modeling reveals category-free selectivity in reward region neuronal ensembles.Inverted Encoding Models of Human Population Response Conflate Noise and Neural Tuning Width.Thalamic functions in distributed cognitive control.Hebbian Learning in a Random Network Captures Selectivity Properties of the Prefrontal Cortex.Frontal Cortex and the Hierarchical Control of Behavior.Decision-making behaviors: weighing ethology, complexity, and sensorimotor compatibility.Feature-based learning improves adaptability without compromising precision.Linking dynamic patterns of neural activity in orbitofrontal cortex with decision making.A unified internal model theory to resolve the paradox of active versus passive self-motion sensation.Population Coding in an Innately Relevant Olfactory Area.What stays the same in orbitofrontal cortex.Mixed selectivity encoding and action selection in the prefrontal cortex during threat assessment.A Quadrantic Bias in Prefrontal Representation of Visual-Mnemonic Space.Spatiotemporal encoding of search strategies by prefrontal neurons.Encoding of Spatial Attention by Primate Prefrontal Cortex Neuronal Ensembles.Predictive Coding in Area V4: Dynamic Shape Discrimination under Partial Occlusion.Comparing continual task learning in minds and machinesSensorimotor integration in : a reappraisal towards dynamic and distributed computationsOptimal dynamic coding by mixed-dimensionality neurons in the head-direction system of batsEstimating the functional dimensionality of neural representations
P2860
Q37580484-3C7F4B47-4D8D-4173-B962-CA2BD7C26235Q37630534-10CFCA32-7CDB-41F5-AF3B-7F2990FE3F25Q38672283-434F4EA1-0F16-4F0C-9741-37B9879283C5Q38819045-1C1A25EB-C22C-4040-A67C-1847F50EC308Q38915269-45604CCA-8FDB-4A0B-869D-D4101A477E49Q38981516-68D5CAAF-5E59-46E9-925E-7B06CAC766A5Q39169358-410E6D3E-1E7B-4949-A455-97AF60AEA2F6Q39726901-43B76204-32C7-4114-BCBD-F0BBD4929F16Q40532321-5D5BB5A8-7604-4EB2-95D1-D8601DAAC854Q40585612-C349459F-B589-47F8-B56A-8800B0F00D07Q41205346-7F50BA27-FF99-4DA5-9785-951B70C37724Q41975703-41FDF08B-3FC6-42BB-BE00-9AE183B03DD4Q42292623-52619591-1951-45C4-8266-1315C293707DQ42620883-4544496E-8E47-4321-BE68-4202B9C6EB87Q44740770-B943DD6E-5DED-4B28-986F-6CBA973C7DCBQ46021828-A2C21CDB-64D0-45E6-A910-0489E6B41867Q46312667-242A19AA-ED2F-4099-A0C5-E62637CB8AFCQ47305098-6CBB6B79-4273-4505-9BFD-76250CE5FE21Q47350553-22F1DBB2-7C32-41FC-A628-F3C8C09A96CFQ47355304-C22214D4-6D56-49AF-8078-518B25C60F76Q47426330-C06E3686-E5E6-4404-8638-AA687DC2459EQ47594452-A19ABD58-EEEB-484C-88EB-BAD72D4BFCDBQ47617700-FE86946C-FE9C-4354-93A7-1A9072B91DEFQ47921577-055B8E86-5E0F-4F19-9AA2-295EED8CB657Q47948700-EE4E6A7F-5E17-418C-A042-DEB834A2D079Q47953150-47192C18-3EF3-4AEE-BEF2-D44A99A048AFQ47953744-1674F9D2-8A74-4CC1-91BD-91FE78287B60Q48170910-216B3F1E-C527-4C10-9C54-4DC0406452AEQ48291761-37A75903-765A-40B1-B24F-ADA477650D5EQ48712607-007A048E-F29C-482C-9795-D976A77E7D3DQ49895105-FAEBB56B-3D56-432E-A270-DCFBA4ECC093Q50579875-6AC14E47-C984-4CC1-956D-673E9D377734Q53403723-4BE662EF-EEE2-484D-BEAA-5DE965579411Q55034940-B065D538-F8F9-4F38-A94D-1FC93FF96042Q55262774-BEA3A32B-9112-4F8F-B60D-DC642E1C289FQ57465843-9AE5DBB0-3D83-4167-B67A-F7B799BF1924Q58753532-FD5D433F-3306-4FA8-B85C-E07E11829A40Q58765343-804488FE-2C09-4AD9-904F-96ED63436A1AQ58795002-5C6EA351-5C9C-4645-8226-70B174A7D09D
P2860
Why neurons mix: high dimensionality for higher cognition.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Why neurons mix: high dimensionality for higher cognition.
@en
type
label
Why neurons mix: high dimensionality for higher cognition.
@en
prefLabel
Why neurons mix: high dimensionality for higher cognition.
@en
P2093
P50
P1476
Why neurons mix: high dimensionality for higher cognition
@en
P2093
Earl K Miller
Mattia Rigotti
Stefano Fusi
P356
10.1016/J.CONB.2016.01.010
P577
2016-02-04T00:00:00Z