The Invariance Hypothesis Implies Domain-Specific Regions in Visual CortexThe dynamics of invariant object recognition in the human visual systemNeural mechanisms of object recognition.Holographic Embeddings of Knowledge GraphsIdentification and analysis of alternative splicing events conserved in human and mouseDonald Arthur Glaser (1926-2013).Neural mechanisms for the recognition of biological movements.A feedforward architecture accounts for rapid categorizationGeneralization in vision and motor control.Neural Tuning Size in a Model of Primate Visual Processing Accounts for Three Key Markers of Holistic Face Processing.Dynamic population coding of category information in inferior temporal and prefrontal cortex.A quantitative theory of immediate visual recognition.Prefrontal cortex activity during flexible categorization.Vision: are models of object recognition catching up with the brain?Learning and disrupting invariance in visual recognition with a temporal association rule.Intracellular measurements of spatial integration and the MAX operation in complex cells of the cat primary visual cortex.DONALD ARTHUR GLASER: 21 SEPTEMBER 1926 - 28 FEBRUARY 2013.Object selectivity of local field potentials and spikes in the macaque inferior temporal cortex.Invariant recognition drives neural representations of action sequences.The Levels of Understanding framework, revised.What and where: a Bayesian inference theory of attention.A comparison of primate prefrontal and inferior temporal cortices during visual categorization.Robust object recognition with cortex-like mechanisms.View-Tolerant Face Recognition and Hebbian Learning Imply Mirror-Symmetric Neural Tuning to Head Orientation.Visual categorization and the primate prefrontal cortex: neurophysiology and behavior.Object Recognition with Features Inspired by Visual CortexTomaso Poggio.'United' we stand.Fast readout of object identity from macaque inferior temporal cortex.General conditions for predictivity in learning theory.A canonical neural circuit for cortical nonlinear operations.A model of V4 shape selectivity and invariance.Regularization Theory and Neural Networks ArchitecturesPredicting the visual world: silence is goldenArtificial IntelligenceComputations in the vertebrate retina: gain enhancement, differentiation and motion discriminationLearning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimizationWhy and when can deep-but not shallow-networks avoid the curse of dimensionality: A reviewErratum: Corrigendum: Automated home-cage behavioural phenotyping of miceAutomated home-cage behavioural phenotyping of mice
P50
Q27318325-995EB07F-757E-45DB-85C0-79174978395CQ30612065-C0633620-4F29-4949-A30E-649DE05AA784Q30692978-C531FABD-F294-4113-81B5-8F73D99238A9Q32000242-ede685d9-4133-935d-ccbc-20a43ae26e34Q33841124-E39FD84E-DE70-4E45-84FF-B95E1336DE1AQ34336853-51109ACD-9A3F-4D20-9BFA-7E6AA1877820Q35075740-042D5533-1C82-4AF7-95C7-170400AD9A01Q35741111-31303728-D3D0-4170-B3B9-7A404D6B239EQ35918036-97F8BDAA-319A-482E-B5B3-16D1CC5981F3Q35960646-DDF43A03-091C-4CE5-8242-9CB6E4DC5092Q36893187-45C2BC65-2BB5-4CF6-AE0D-7849137E32DAQ36966262-7E4D68EE-D2A6-437B-8DA8-390CBCFE890DQ37007497-D1EE8D7C-DA99-42F3-848C-FD86F437EB59Q38114952-2DA820EC-522D-4DF4-B34B-0FF2F352AB95Q42218609-F29AC236-CF08-4C35-B59A-45C95336C614Q44989733-6EDCE135-30DB-4356-92C3-C8635CF5CE23Q46018016-C5F0A0FA-CAE5-4FD0-B308-8CB8D5814A46Q46918988-E552DB96-A375-4EA1-BD9E-ACEF06D83504Q47289174-A28AB76D-C1EC-42E4-98BF-EF8762EAFC74Q48162976-B4F0D434-E890-423E-AB7C-0DB75D261EAFQ48189735-B4A39BAE-F850-46D2-84BE-B3D939FCB451Q48267285-EC986068-C6D9-4786-8F6C-E302A29445AFQ48309049-B135A0A5-94A5-4CEE-8959-FD44B6ABF1D5Q48406910-93D16B7D-5957-4654-BFA3-AFFDC9AC4C4CQ48520871-DB86D993-1B85-4A3D-A88D-02A6D5FF3FDFQ48570987-13721D66-596A-468B-A83B-51E32266E536Q48640827-D7DAAE6B-B0E5-410F-A3C4-6496559A7E97Q48645508-B31C2205-265F-49C9-9CCA-C466AABFFBC3Q48705597-E42989F4-E941-49F3-BC2A-3816CE044036Q51698507-F8CEC927-6E0F-468E-95CF-D61A53B65573Q51894059-3EB43BC3-25F8-45D4-84AB-C68214BBA558Q51982242-C6AA3921-19F1-48F5-8E06-2FA92B497235Q56169175-74D9CA53-0C38-42E9-B204-E340722A2AA8Q56903227-FAEA30AC-7606-4781-B285-FFB3745CD9F7Q56903422-ED4BE3DF-ED49-4989-A884-5D4E2FECF16FQ56903466-628A4880-65E3-42AF-85B9-0D23F87A80A3Q56906307-AC2FC939-1C01-4DD4-B063-4E6819236322Q59611131-2BC97AA6-F2CE-4B22-A426-BF4D405F0D62Q61197372-2FA400FB-C726-4E2F-BCC9-F8050A0EFFD0Q61198323-E2A830E6-F663-4D85-B78C-6A8E4A6C252B
P50
description
Itaalia füüsik
@et
Italiaans natuurkundige
@nl
Italian physicist
@en
Italian physicist
@en-ca
Italian physicist
@en-gb
US-amerikanischer Informatiker
@de
fisiceoir Iodálach
@ga
fisico italiano
@it
fizician italian
@ro
fizikan italian
@sq
name
Tomaso A. Poggio
@da
Tomaso A. Poggio
@de
Tomaso A. Poggio
@en
Tomaso A. Poggio
@ga
Tomaso A. Poggio
@sq
Tomaso Poggio
@ca
Tomaso Poggio
@es
Tomaso Poggio
@fo
Tomaso Poggio
@fr
Tomaso Poggio
@is
type
label
Tomaso A. Poggio
@da
Tomaso A. Poggio
@de
Tomaso A. Poggio
@en
Tomaso A. Poggio
@ga
Tomaso A. Poggio
@sq
Tomaso Poggio
@ca
Tomaso Poggio
@es
Tomaso Poggio
@fo
Tomaso Poggio
@fr
Tomaso Poggio
@is
altLabel
Tomaso A Poggio
@da
Tomaso A Poggio
@de
Tomaso A Poggio
@en
Tomaso Poggio
@da
Tomaso Poggio
@de
Tomaso Poggio
@en
prefLabel
Tomaso A. Poggio
@da
Tomaso A. Poggio
@de
Tomaso A. Poggio
@en
Tomaso A. Poggio
@ga
Tomaso A. Poggio
@sq
Tomaso Poggio
@ca
Tomaso Poggio
@es
Tomaso Poggio
@fo
Tomaso Poggio
@fr
Tomaso Poggio
@is