ArticleiScience2022
Automated and parallelized spike collision tests to identify spike signal projections.
Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Temporally Coordinated Activity among Motor Cortex, Thalamus, and Thalamic Reticular Nucleus Neurons during Rat Forelimb Movements.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Dorsomedial striatum monitors unreliability of current action policy and probes alternative one via the indirect pathway.Science advances · 2025Article
- Modulation of Hippocampal Sharp-Wave Ripples by Behavioral States and Body Movements in Head-Fixed Rodents.eNeuro · 2025Article
- Synergistic Reinforcement Learning by Cooperation of the Cerebellum and Basal Ganglia.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- A distributed auditory network mediated by pontine central gray underlies ultra-fast awakening in response to alerting sounds.Current biology : CB · 2024Article
- Rat hippocampal CA1 region represents learning-related action and reward events with shorter latency than the lateral entorhinal cortex.Communications biology · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The spike collision test is a highly reliable technique to identify the axonal projection of a neuron recorded electrophysiologically for investigating functional spike information among brain areas. It is potentially applicable to more neuronal projections by combining multi-channel recording with optogenetic stimulation. Yet, it remains inefficient and laborious because an experimenter must visually select spikes in every channel and manually repeat spike collision tests for each neuron serially. Here, we automated spike collision tests for all channels in parallel (
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