Brain computation as hierarchical abstraction / Dana H. Ballard.
Material type:
TextSeries: Computational neurosciencePublisher: Cambridge, Massachusetts : The MIT Press, [2015]Description: 1 online resource (xiv, 440 pages)Content type: - text
- computer
- online resource
- 9780262323819
- 0262323818
- 0262534126
- 9780262534123
- Computational neuroscience
- Neurobiology
- Neural networks (Computer science)
- Brain -- physiology
- Mental Processes -- physiology
- Neurobiology
- Models, Neurological
- Nerve Net -- physiology
- Neural Networks, Computer
- Neurons -- physiology
- Neurosciences informatiques
- Neurobiologie
- Réseaux neuronaux (Informatique)
- MEDICAL -- Physiology
- SCIENCE -- Life Sciences -- Human Anatomy & Physiology
- COMPUTERS -- Data Modeling & Design
- Neural networks (Computer science)
- Computational neuroscience
- Neurobiology
- NEUROSCIENCE/General
- 612.8/23343 23
- QP357.5 .B35 2015eb
- WL 337
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
eBook
|
e-Library | EBSCO Science | Available |
Includes bibliographical references and index.
Brain computation -- Brain overview -- Neurons and circuits -- Cortical memory -- Programs via reinforcement -- Sensory-motor routines -- Motor routines -- Operating system -- Decision making -- Emotions -- Consciousness.
Print version record.
The vast differences between the brain's neural circuitry and a computer's silicon circuitry might suggest that they have nothing in common. In fact, as Dana Ballard argues in this book, computational tools are essential for understanding brain function. Ballard shows that the hierarchical organisation of the brain has many parallels with the hierarchical organisation of computing; as in silicon computing, the complexities of brain computation can be dramatically simplified when its computation is factored into different levels of abstraction.
Added to collection customer.56279.3