The code provided is a computational model aimed at simulating and analyzing neural activity related to memory recall in the hippocampus. This region of the brain is crucial for memory formation, consolidation, and retrieval, and the model focuses on capturing aspects of these processes. Here's a breakdown of the biological basis of this simulation:
Neural Population Size and Composition:
NCELL
), with 100 of these considered pyramidal cells (NPCELL
). Pyramidal cells are a major type of excitatory neuron in the hippocampus and cortical areas, playing a key role in memory and cognition.Pattern Storage and Recall:
NPATT
, SPATT
) to simulate stored memory patterns. These patterns are akin to engrams, the physical substrate of memory in the brain.CPATT
) is used as the trigger to assess memory recall quality, replicating how the brain might use partial or related inputs to retrieve stored memories.Spike Timing and Raster Plots:
FSPIKE
) represent sequences of action potentials over time, which are fundamental for neural communication and plasticity. The raster plots visualize spiking activity across neurons and over time, a common method in neuroscience to assess neuronal dynamics and synchronization.Temporal Analysis:
TW
) to gauge how memory recall evolves over time. This temporal aspect reflects the dynamic nature of neural processing in the brain.Measures of Recall Quality:
ha
), simulating error rates or deviations in memory retrieval akin to neurological accuracy.co
, an
) evaluate the similarity between neural activity during recall and stored patterns, reflecting biological processes of pattern completion and recognition.Overall, the code seeks to provide insights into the mechanisms of memory encoding and retrieval in neuronal networks, focusing on the hippocampus's role in these processes. The biological focus is on capturing key neural dynamics that underlie memory function, using computational techniques to mimic these complex biological processes.