Willshaw et al., 2015 - Google Patents
Memory, modelling and Marr: a commentary on Marr (1971)'Simple memory: a theory of archicortex'Willshaw et al., 2015
View PDF- Document ID
- 5247830862465098984
- Author
- Willshaw D
- Dayan P
- Morris R
- Publication year
- Publication venue
- Philosophical Transactions of the Royal Society B: Biological Sciences
External Links
Snippet
David Marr's theory of the archicortex, a brain structure now more commonly known as the hippocampus and hippocampal formation, is an epochal contribution to theoretical neuroscience. Addressing the problem of how information about 10 000 events could be …
- 210000001025 Archicortex 0 title abstract description 25
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/04—Architectures, e.g. interconnection topology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/12—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for modelling or simulation in systems biology, e.g. probabilistic or dynamic models, gene-regulatory networks, protein interaction networks or metabolic networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/04—Inference methods or devices
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Willshaw et al. | Memory, modelling and Marr: a commentary on Marr (1971)‘Simple memory: a theory of archicortex’ | |
Borsboom et al. | Brain disorders? Not really: Why network structures block reductionism in psychopathology research | |
Anderson | Précis of after phrenology: neural reuse and the interactive brain | |
Schacter et al. | The future of memory: remembering, imagining, and the brain | |
Kotchoubey et al. | Methodological problems on the way to integrative human neuroscience | |
Anticevic et al. | Bridging levels of understanding in schizophrenia through computational modeling | |
Levin | Emotion and the psychodynamics of the cerebellum: A neuro-psychoanalytic analysis and synthesis | |
Pasqualotto | Multisensory integration substantiates distributed and overlapping neural networks | |
Zorumski et al. | Psychiatry and clinical neuroscience: a primer | |
Ioannidis | Therapy and prevention for mental health: What if mental diseases are mostly not brain disorders? | |
Borsboom et al. | Reductionism in retreat | |
McCaffrey et al. | 14 Neuroscience and Cognitive Ontology: A Case for Pluralism | |
Prosser et al. | A Bayesian account of psychopathy: A model of lacks remorse and self-aggrandizing | |
Pessoa | Beyond disjoint brain networks: overlapping networks for cognition and emotion | |
McNally | The network takeover reaches psychopathology | |
Elbau et al. | Symptoms are not the solution but the problem: Why psychiatric research should focus on processes rather than symptoms | |
McCaffrey et al. | The reification objection to bottom-up cognitive ontology revision | |
Hyland | Functional disorders can also be explained through a non-reductionist application of network theory | |
Ward et al. | Families of network structures–we need both phenomenal and explanatory models | |
Baran | Reductionist thinking and animal models in neuropsychiatric research | |
Silberstein | The implications of neural reuse for the future of both cognitive neuroscience and folk psychology | |
Jayawickreme et al. | Network models can help focus research on the role of culture and context in psychopathology, but don't discount latent variable models | |
van Loo et al. | What's in a model? Network models as tools instead of representations of what psychiatric disorders really are | |
Bornstein | Beyond trait reductionism: Implications of network structures for dimensional models of psychopathology | |
Troisi | The biology of mental disorders: What are we talking about? |