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Tuning in the Hippocampal Theta Band In Vitro: Methodologies for Recording from the Isolated Rodent Septohippocampal Circuit
Published on: August 2, 2017
Decision time, slow inhibition, and theta rhythm
Anteo Smerieri1, Edmund T Rolls, Jianfeng Feng
1Department of Physics, Università di Parma, 43100 Parma, Italy, Oxford Centre for Computational Neuroscience, Oxford OX1 2UD, United Kingdom.
Summary
Longer inhibitory neuron time constants in spiking neural networks speed up reaction times and generate theta rhythm. This occurs due to firing rate drift influencing decision-making speed, even seconds before cues are presented.
Area of Science:
- Computational Neuroscience
- Neuroscience
- Artificial Intelligence
Background:
- Decision-making processes in the brain are complex.
- Spiking neuronal networks (SNNs) are computational models inspired by biological neurons.
- Understanding factors influencing reaction times is crucial in neuroscience.
Purpose of the Study:
- To investigate the impact of inhibitory neuron time constants on decision-making in SNNs.
- To analyze the underlying mechanisms of reaction time modulation.
- To explore the generation of neural rhythms during decision tasks.
Main Methods:
- Simulations of spiking neuronal networks with varying inhibitory neuron time constants.
- Analysis of spontaneous firing rates and their drift.
- Investigation of recurrent connections and their influence on network dynamics.
- Examination of membrane potential dynamics and neuronal spiking.
Main Results:
- Increased inhibitory neuron time constants decrease reaction times.
- Longer time constants promote theta rhythm generation.
- Spontaneous firing rate drift significantly influences decision speed, even before cue presentation.
- Slow inhibition leads to greater integration in firing rate drift and influences decision outcomes.
Conclusions:
- Inhibitory neuron time constants are critical parameters for regulating decision-making speed and network oscillations in SNNs.
- Noise-influenced firing rate drift over extended periods can bias decisions.
- Slow waves in theta and delta ranges may enhance neuronal spiking, affecting decision times.
