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Neurosift Chat Feature: What is the character limit? #222

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bendichter opened this issue Dec 26, 2024 · 0 comments
Open

Neurosift Chat Feature: What is the character limit? #222

bendichter opened this issue Dec 26, 2024 · 0 comments

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@bendichter
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I tried to submit a message and got a dialog telling me the message is too long, but I don't think it's an unreasonable length for a real scientific data search. The app does not say what the character limit is, and whatever it is I wonder if it may make sense to increase it.

Here is the message:

Find a dataset that fits the following criteria

Visual System
Hypothesis 1: Orientation Selectivity
Primary visual cortex neurons exhibit selective responses to oriented stimuli, with individual neurons showing peaked responses at specific orientations.
Key Papers
Hubel & Wiesel (1962, 1968) demonstrated that individual neurons in the primary visual cortex respond preferentially to bars of light at specific orientations, establishing the fundamental principle of feature detection in sensory processing. Their work revealed that these neurons are organized in orientation-selective columns throughout the cortical layers, forming a systematic map of orientation preference.

  • Hubel, D. H., & Wiesel, T. N. (1962). Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. The Journal of physiology, 160(1), 106-154.
  • Hubel, D. H., & Wiesel, T. N. (1968). Receptive fields and functional architecture of monkey striate cortex. The Journal of physiology, 195(1), 215-243.
    Dataset Requirements
  • Well-isolated neurons from visual cortex (V1)
  • Multiple oriented stimuli with precise timing information
  • Minimum 10 trials per orientation
  • Recording location and stimulus metadata
    Analysis Pipeline
  1. Extract spike times aligned to stimulus presentations
  2. Generate PSTHs for each stimulus orientation
  3. Calculate mean firing rates during stimulus presentation
  4. Create orientation tuning curves
  5. Compute orientation selectivity index (OSI)
  6. Determine preferred orientation for each neuron
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