Listing 1 - 5 of 5 |
Sort by
|
Choose an application
Although science has made considerable progress in discovering the neural basis of cognition, how consciousness arises remains elusive. In this book, Pennartz analyzes which aspects of conscious experience can be peeled away to access its core: the relationship between brain processes and the qualitative nature of consciousness. Pennartz traces the problem back to its historical foundations and connects early ideas to contemporary computational neuroscience.
Neural circuitry. --- Neurosciences. --- Cognition. --- Cognitive science. --- Memory. --- Retention (Psychology) --- Neural sciences --- Neurological sciences --- Neuroscience --- Circuitry, Neural --- Circuits, Neural --- Nerve net --- Nerve network --- Neural circuits --- Neurocircuitry --- Neuronal circuitry --- Intellect --- Psychology --- Thought and thinking --- Comprehension --- Executive functions (Neuropsychology) --- Mnemonics --- Perseveration (Psychology) --- Reproduction (Psychology) --- Science --- Philosophy of mind --- Medical sciences --- Nervous system --- Electrophysiology --- Neural networks (Neurobiology) --- Reflexes --- NEUROSCIENCE/General --- COGNITIVE SCIENCES/General --- Affective and dynamic functions --- Physiology of nerves and sense organs
Choose an application
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.
Computational neuroscience. --- Neurobiology. --- Brain --- Mental Processes --- Neurons --- Nerve Net --- Neural Networks (Computer) --- Models, Neurological. --- Model, Neurological --- Neurologic Model --- Neurological Model --- Neurological Models --- Neurologic Models --- Model, Neurologic --- Models, Neurologic --- Connectionist Models --- Models, Neural Network --- Neural Network Models --- Perceptrons --- Connectionist Model --- Model, Connectionist --- Model, Neural Network --- Models, Connectionist --- Network Model, Neural --- Network Models, Neural --- Network, Neural (Computer) --- Networks, Neural (Computer) --- Neural Network (Computer) --- Neural Network Model --- Perceptron --- Neurosciences --- Computational neurosciences --- Computational biology --- physiology. --- Physiology. --- Computational Neural Networks --- Computational Neural Network --- Computer Neural Network --- Computer Neural Networks --- Network, Computational Neural --- Network, Computer Neural --- Networks, Computational Neural --- Networks, Computer Neural --- Neural Network, Computational --- Neural Network, Computer --- Neural Networks, Computational --- NEUROSCIENCE/General --- Computational neuroscience --- Neurobiology --- Models, Neurological --- physiology
Choose an application
"The human brain is often described as the most complex object in the universe. Tens of billions of nerve cells-tiny tree-like structures--make up a massive network with enormous computational power. In this book, Giorgio Ascoli reveals another aspect of the human brain: the stunning beauty of its cellular form. Doing so, he makes a provocative claim about the mind-brain relationship. If each nerve cell enlarged a thousandfold looks like a tree, then a small region of the nervous system at the same magnified scale resembles a gigantic, fantastic forest. This structural majesty--illustrated throughout the book with extraordinary color images--hides the secrets behind the genesis of our mental states. Ascoli proposes that some of the most intriguing mysteries of the mind can be solved using the basic architectural principles of the brain. After an overview of the scientific and philosophical foundations of his argument, Ascoli links mental states with patterns of electrical activity in nerve cells, presents an emerging minority opinion of how the brain learns from experience, and unveils a radically new hypothesis of the mechanism determining what is learned, what isn't, and why. Finally, considering these notions in the context of the cosmic diversity within and among brains, Ascoli offers a new perspective on the roots of individuality and humanity"--MIT CogNet.
Neural circuitry. --- Neural networks (Neurobiology) --- Neural transmission. --- Mind and body. --- Brain. --- Cerebrum --- Mind --- Central nervous system --- Head --- Body and mind --- Body and soul (Philosophy) --- Human body --- Mind-body connection --- Mind-body relations --- Mind-cure --- Somatopsychics --- Brain --- Dualism --- Philosophical anthropology --- Holistic medicine --- Mental healing --- Parousia (Philosophy) --- Phrenology --- Psychophysiology --- Self --- Nerve transmission --- Nervous transmission --- Neurotransmission --- Synaptic transmission --- Transmission of nerve impulses --- Neural circuitry --- Neurophysiology --- Neurotransmitters --- Biological neural networks --- Nets, Neural (Neurobiology) --- Networks, Neural (Neurobiology) --- Neural nets (Neurobiology) --- Cognitive neuroscience --- Neurobiology --- Circuitry, Neural --- Circuits, Neural --- Nerve net --- Nerve network --- Neural circuits --- Neurocircuitry --- Neuronal circuitry --- Electrophysiology --- Nervous system --- Reflexes --- Psychological aspects --- BIOMEDICAL SCIENCES/General --- COGNITIVE SCIENCES/General --- NEUROSCIENCE/General --- Theory of knowledge --- Physiology of nerves and sense organs
Choose an application
Since information in the brain is processed by the exchange of spikes among neurons, a study of such group dynamics is extremely important in understanding hippocampus dependent memory. These spike patterns and local field potentials (LFPs) have been analyzed by various statistical methods. These studies have led to important findings of memory information processing. For example, memory-trace replay, a reactivation of behaviorally induced neural patterns during subsequent sleep, has been suggested to play an important role in memory consolidation. It has also been suggested that a ripple/sharp wave event (one of the characteristics of LFPs in the hippocampus) and spiking activity in the cortex have a specific relationship that may facilitate the consolidation of hippocampal dependent memory from the hippocampus to the cortex. The book will provide a state-of-the-art finding of memory information processing through the analysis of multi-neuronal data. The first half of the book is devoted to this analysis aspect. Understanding memory information representation and its consolidation, however, cannot be achieved only by analyzing the data. It is extremely important to construct a computational model to seek an underlying mathematical principle. In other words, an entire picture of hippocampus dependent memory system would be elucidated through close collaboration among experiments, data analysis, and computational modeling. Not only does computational modeling benefit the data analysis of multi-electrode recordings, but it also provides useful insight for future experiments and analyses. The second half of the book will be devoted to the computational modeling of hippocampus-dependent memory.
Neural transmission --- Higher nervous activity --- Hippocampus (Brain) --- Memory --- Transmission nerveuse --- Activité nerveuse supérieure --- Hippocampe (Cerveau) --- Mémoire --- Physiological aspects --- Aspect physiologique --- Medicine. --- Neurobiology. --- Neurosciences. --- Nervous System --- Limbic System --- Models, Biological --- Signal Transduction --- Biological Science Disciplines --- Learning --- Anatomy --- Mental Processes --- Biochemical Processes --- Brain --- Models, Theoretical --- Natural Science Disciplines --- Disciplines and Occupations --- Biochemical Phenomena --- Investigative Techniques --- Psychological Phenomena and Processes --- Central Nervous System --- Chemical Phenomena --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Psychiatry and Psychology --- Phenomena and Processes --- Nerve Net --- Models, Neurological --- Physiology --- Synaptic Transmission --- Hippocampus --- Neurons --- Medicine --- Health & Biological Sciences --- Neurology --- Measurement --- Human information processing. --- Memory. --- Activité nerveuse supérieure --- Mémoire --- EPUB-LIV-FT LIVBIOLO LIVBIOMO LIVMEDEC SPRINGER-B --- Retention (Psychology) --- Information processing, Human --- Neural networks (Computer science). --- Biomedicine. --- Mathematical Models of Cognitive Processes and Neural Networks. --- Bionics --- Information theory in psychology --- Perception --- Intellect --- Psychology --- Thought and thinking --- Comprehension --- Executive functions (Neuropsychology) --- Mnemonics --- Perseveration (Psychology) --- Reproduction (Psychology) --- Neurosciences --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences --- Nervous system --- Neural networks (Computer science) . --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing
Choose an application
"Neuroscience research has exploded, with more than fifty thousand neuroscientists applying increasingly advanced methods. A mountain of new facts and mechanisms has emerged. And yet a principled framework to organize this knowledge has been missing. In this book, Peter Sterling and Simon Laughlin, two leading neuroscientists, strive to fill this gap, outlining a set of organizing principles to explain the whys of neural design that allow the brain to compute so efficiently. Setting out to 'reverse engineer' the brain--disassembling it to understand it--Sterling and Laughlin first consider why an animal should need a brain, tracing computational abilities from bacterium to protozoan to worm. They examine bigger brains and the advantages of 'anticipatory regulation'; identify constraints on neural design and the need to 'nanofy'; and demonstrate the routes to efficiency in an integrated molecular system, phototransduction. They show that the principles of neural design at finer scales and lower levels apply at larger scales and higher levels; describe neural wiring efficiency; and discuss learning as a principle of biological design that includes 'save only what is needed.' Sterling and Laughlin avoid speculation about how the brain might work and endeavor to make sense of what is already known. Their distinctive contribution is to gather a coherent set of basic rules and exemplify them across spatial and functional scales"--MIT CogNet.
Brain --- Neural circuitry --- Learning --- Nervous System --- Biological Science Disciplines --- Psychology, Educational --- Mental Processes --- Central Nervous System --- Natural Science Disciplines --- Anatomy --- Psychological Phenomena and Processes --- Psychology, Applied --- Disciplines and Occupations --- Psychiatry and Psychology --- Neural Pathways --- Physiology --- Human Anatomy & Physiology --- Health & Biological Sciences --- Neuroscience --- Human Information Processing --- Information Processing, Human --- Educational Psychology --- Educational Psychologies --- Psychologies, Educational --- Neural Interconnections --- Interconnection, Neural --- Interconnections, Neural --- Neural Interconnection --- Neural Pathway --- Pathway, Neural --- Pathways, Neural --- Encephalon --- Brains --- Encephalons --- Memory Training --- Phenomenography --- Training, Memory --- Applied Psychology --- Applied Psychologies --- Psychologies, Applied --- Psychologic Processes and Principles --- Anatomies --- Natural Sciences --- Physical Sciences --- Discipline, Natural Science --- Disciplines, Natural Science --- Natural Science --- Natural Science Discipline --- Physical Science --- Science, Natural --- Science, Physical --- Sciences, Natural --- Sciences, Physical --- Cerebrospinal Axis --- Axi, Cerebrospinal --- Axis, Cerebrospinal --- Central Nervous Systems --- Cerebrospinal Axi --- Nervous System, Central --- Nervous Systems, Central --- System, Central Nervous --- Systems, Central Nervous --- Biologic Sciences --- Biological Science --- Science, Biological --- Sciences, Biological --- Biological Sciences --- Life Sciences --- Biologic Science --- Biological Science Discipline --- Discipline, Biological Science --- Disciplines, Biological Science --- Life Science --- Science Discipline, Biological --- Science Disciplines, Biological --- Science, Biologic --- Science, Life --- Sciences, Biologic --- Sciences, Life --- Nervous Systems --- System, Nervous --- Systems, Nervous --- Learning process --- Circuitry, Neural --- Circuits, Neural --- Nerve net --- Nerve network --- Neural circuits --- Neurocircuitry --- Neuronal circuitry --- Neural Pathways. --- Learning. --- Memory Consolidation --- Education --- Peripheral Nervous System --- physiology. --- Neural circuitry. --- Physiology. --- Comprehension --- Electrophysiology --- Nervous system --- Neural networks (Neurobiology) --- Reflexes --- NEUROSCIENCE/General
Listing 1 - 5 of 5 |
Sort by
|