about
Auditory processing, plasticity, and learning in the barn owl.Context-dependent selection of visuomotor mapsNeurocomputational Nosology: Malfunctions of Models and MechanismsProbabilistic brains: knowns and unknownsEye Velocity Gain Fields in MSTd During Optokinetic StimulationBayesian inference with probabilistic population codesBilinearity, rules, and prefrontal cortexHow behavioral constraints may determine optimal sensory representations.Unsupervised learning of vowel categories from infant-directed speech.Multiplicative auditory spatial receptive fields created by a hierarchy of population codesEmergence of multiplicative auditory responses in the midbrain of the barn owlIdiosyncratic and systematic aspects of spatial representations in the macaque parietal cortex.From basis functions to basis fields: vector field approximation from sparse data.Using a compound gain field to compute a reach planLearning not to generalize: modular adaptation of visuomotor gain.A computational perspective on the neural basis of multisensory spatial representations.Generalization of stochastic visuomotor rotations.Generalization in vision and motor control.Radial Frequency Analysis of Contour Shapes in the Visual Cortex.Renewing the respect for similarity.What response properties do individual neurons need to underlie position and clutter "invariant" object recognition?Generalization as a behavioral window to the neural mechanisms of learning internal models.Simple substrates for complex cognition.Cognitive tomography reveals complex, task-independent mental representations.Confidence and certainty: distinct probabilistic quantities for different goals.Mechanistic classification of neural circuit dysfunctions: insights from neuroeconomics research in animals.Intersensory binding across space and time: a tutorial review.Images, frames, and connectionist hierarchies.Productivity of Noun Slots in Verb Frames.Models of visual categorization.A new view of hemineglect based on the response properties of parietal neurones.Decision making under uncertainty: a neural model based on partially observable markov decision processes.Cost-sensitive Bayesian control policy in human active sensing.Probabilistic interpretation of population codes.A simple measure of the coding efficiency of a neuronal population.Rank-order-selective neurons form a temporal basis set for the generation of motor sequences.Motor task variation induces structural learningInternal representation of task rules by recurrent dynamics: the importance of the diversity of neural responsesCoordinate transformation approach to social interactions.Generalization between canonical and non-canonical views in object recognition.
P2860
Q24630618-BCBEBE98-47DC-4A3B-A3C7-0268EF00E841Q24792908-ACB16B95-DF34-481B-A95B-47E1F1950433Q26747490-37352586-0003-4F2E-8FEE-88B385FDA32DQ26852897-2B58E520-307D-4014-998F-C0BB1930E5FCQ27303010-3BCE183E-B40A-4CC6-B2BC-B43D3D805EF5Q28270009-F2DA8837-7976-405B-99F9-65353F474AD6Q28757307-3EC7A44B-6C4D-4FFB-B986-DB8845B1D714Q28766421-26E47287-EE7D-4AC9-95B2-98E3E568120FQ30479835-7C88E141-5F0B-4811-A5F3-88AB6865CFC4Q30484787-5E06403F-3FE9-4FED-8F45-BC1C4607A128Q30493531-B22A4B6C-4065-4DFC-BB11-A13D077D4E5AQ30494458-AC33FDC1-A13E-4D45-982D-13706D23ADEDQ30887491-422A9F34-9248-4708-B43E-52996A47756AQ33612616-3F7786C2-A357-4A10-B740-D1E76BE7CB77Q33923521-69A76E34-4922-472E-BC97-43C5D042036CQ34147442-31712E2D-2A60-440D-81B0-79208C008C75Q34391231-BC529619-4522-49C5-828A-04490DD6151BQ35918036-D774CFC4-8F6F-4796-91FC-E1CD41C99F60Q35920817-D030AA5E-4747-431D-A0B1-4F4D05D8B32DQ36093765-BCCD5782-EAA9-4CB2-9B14-A9A16F811959Q37265921-3BCC8B2C-905C-48FC-A913-98076E23CC1BQ37294868-D0364380-129C-4F90-8FED-69675683D350Q37395808-E23DED7A-DFF3-4FDC-BB28-ADFFF1F42C6FQ37504246-D62ED511-2AC0-428A-AF15-DF9478B93059Q37735824-A79EA150-4DC5-4B0F-82E2-2A90E0705E4CQ37996176-06152D5D-11C7-4E2E-A371-22B38714C0D9Q38109546-BC0C7727-BA5B-43E7-B8CF-3A4307FF6F54Q38404634-C1304EC9-2CF6-4B6E-B7DA-8A888E827146Q38417550-F74C2148-AC8A-4663-9F50-7CE2F1BE1E1BQ38782536-3D62EF53-9A04-4DDC-9C8F-0EE015F97D1AQ40841468-87E30F41-5CA7-48EC-9E8C-31A4501C2E9DQ41143894-58F49CFC-52B7-47F7-87CC-3944EA8A2FA5Q41674943-7179FD7E-C32E-4432-9AA8-2A5FA1658F91Q41705425-26FE65F1-F7F5-484A-B35F-17A680A4067BQ41869910-53771D3D-66E0-4A91-80B7-6CDFAAADAA72Q41998239-FD0FA246-E2C3-4988-A74D-209F66EB28BFQ42123150-CD5A0092-E4F6-4569-B7EC-6B596F397D99Q42161080-98085F94-EF45-4743-9A99-EF0E06FB1873Q42561857-F8D1DB72-D4A4-4A14-8FFC-8B1CFEBED78BQ43236542-DF34B7D4-D3C8-4CF8-962D-CE21C24FE04D
P2860
description
1990 nî lūn-bûn
@nan
1990年の論文
@ja
1990年学术文章
@wuu
1990年学术文章
@zh
1990年学术文章
@zh-cn
1990年学术文章
@zh-hans
1990年学术文章
@zh-my
1990年学术文章
@zh-sg
1990年學術文章
@yue
1990年學術文章
@zh-hant
name
A theory of how the brain might work.
@en
A theory of how the brain might work.
@nl
type
label
A theory of how the brain might work.
@en
A theory of how the brain might work.
@nl
prefLabel
A theory of how the brain might work.
@en
A theory of how the brain might work.
@nl
P1476
A theory of how the brain might work.
@en
P2093
P304
P356
10.1101/SQB.1990.055.01.084
P577
1990-01-01T00:00:00Z