Publications by authors named "Gergely Tarcsay"

Active conductances tune the kinetics of axonal action potentials (APs) to support specialized functions of neuron types. However, the temporal characteristics of voltage signals strongly depend on the size of neuronal structures, as capacitive and resistive effects slow down voltage discharges in the membranes of small elements. Axonal action potentials are particularly sensitive to these inherent biophysical effects because of the large diameter variabilities within individual axons, potentially implying bouton size-dependent synaptic effects.

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Article Synopsis
  • - In temporal lobe epilepsy, interictal spikes (IS) are bursts of brain activity that occur frequently between seizures, potentially affecting cognitive functions like working memory.
  • - Research on epileptic mice performing a memory task showed that IS negatively impacted performance when spread out but improved memory when they were focused at reward locations.
  • - A machine learning analysis indicated that IS at these rewards were larger and carry more meaningful information, suggesting that how and where these spikes occur can either enhance or disrupt memory processing in the hippocampus.
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Experiments employing chronic monitoring of neurophysiological signals and video are commonly used in studies of epilepsy to characterize behavioral correlates of seizures. Our objective was to design a low-cost platform that enables chronic monitoring of several animals simultaneously, synchronizes bilateral local field potential (LFP) and video streams in real time, and parses recorded data into manageable file sizes. We present a hardware solution leveraging Intan and Open Ephys acquisition systems and a software solution implemented in Bonsai.

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Patch-clamp instruments including amplifier circuits and pipettes affect the recorded voltage signals. We hypothesized that realistic and complete representation of recording instruments together with detailed morphology and biophysics of small recorded structures will reveal signal distortions and provide a tool that predicts native, instrument-free electrical signals from distorted voltage recordings. Therefore, we built a model that was verified by small axonal recordings.

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