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Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity
Published on: November 11, 2017
The neuroscience of learning: beyond the Hebbian synapse
C R Gallistel1, Louis D Matzel
1Rutgers Center for Cognitive Science, Rutgers University, Piscataway, New Jersey 08854-8020, USA. galliste@ruccs.rutgers.edu
Annual Review of Psychology
|July 19, 2012
Summary
Associative learning and memory are not fully explained by synaptic plasticity alone. The brain employs complex computations for learning, suggesting a need for a new conceptual framework in neuroscience research.
Area of Science:
- Neuroscience
- Cognitive Science
- Computational Neuroscience
Background:
- Traditional associative learning theory links synaptic modifications to memory.
- An information-processing perspective suggests learning involves computations based on domain-specific principles.
Purpose of the Study:
- To evaluate if synaptic plasticity (long-term potentiation) can explain associative learning and memory.
- To explore the role of complex computations in brain-based learning mechanisms.
Main Methods:
- Comparison of associative learning properties with long-term potentiation.
- Review of neuroscience findings in reinforcement learning.
- Analysis of computational capabilities in probabilistic inference, uncertainty representation, and spatial representation.
Main Results:
- Long-term potentiation properties do not adequately explain fundamental associative learning properties.
- Neuroscientific findings support complex computations in learning.
- Evidence confirms complex computations in probabilistic inference, uncertainty, and spatial representation domains.
Conclusions:
- Synaptic plasticity alone is insufficient to explain associative learning and memory.
- The brain utilizes sophisticated computational mechanisms for learning.
- A conceptual shift is needed in neuroscience to study brain learning mechanisms.
Related Concept Videos
01:25Long-term Potentiation
Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
Hebbian LTP
LTP can occur when presynaptic neurons...
Hebbian LTP
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01:35Long-term Potentiation
Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre- and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
01:28Neuronal Communication
Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
01:01Neuroplasticity
Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
01:26Higher Mental Functions of Brain: Learning and Memory
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