Brain learning involves multiple simultaneous synaptic rules, challenging traditional models
New research reveals that the brain does not use a single, uniform learning rule across synapses. Instead, different synapses on the same neuron follow distinct rules, with some adhering to the traditional “fire together, wire together” Hebbian model, while others strengthen or weaken independently of the neuron’s activity. This multi-rule system allows neurons to encode diverse types of information more efficiently. The findings have potential implications for understanding brain disorders related to synaptic dysfunction and for developing more biologically realistic artificial intelligence models.
Researchers have demonstrated that individual neurons can simultaneously apply different learning rules across their dendrites, enhancing the brain’s flexibility in processing and storing information.
Using advanced imaging in mice, scientists observed that synaptic changes depend on location-specific mechanisms, offering new insights into memory formation and potential therapies for mental health disorders.
Neurons employ multiple learning rules simultaneously, challenging the ‘fire together, wire together’ model
Recent research has uncovered that individual neurons utilize diverse learning rules across different synapses, rather than adhering to a single, uniform mechanism. Traditionally, the Hebbian model posited that simultaneous activation of neurons strengthens their connection. However, this study demonstrates that while some synapses follow Hebbian principles, others adjust their strength independently of the neuron’s activity. This multiplicity allows neurons to process and store information more efficiently, enhancing the brain’s adaptability. These findings have significant implications for understanding neurological disorders linked to synaptic dysfunction and for developing more sophisticated artificial intelligence systems that mimic human learning processes.
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