Point process models for sequence detection in high-dimensional neural spike trains

Nov-14-2025, 22:23:50 GMT–Neural Information Processing Systems

Identifying interpretable patterns in multi-electrode recordings is a longstanding and increasingly pressing challenge in neuroscience.

artificial intelligence, machine learning, sequence, (20 more...)

Neural Information Processing Systems

Nov-14-2025, 22:23:50 GMT

Conferences PDF

Country:
- Africa > Senegal
  - Kolda Region > Kolda (0.04)
- North America
  - Canada (0.04)
  - United States > California
    - Los Angeles County > Long Beach (0.04)
    - Santa Clara County
      - Palo Alto (0.04)
      - Stanford (0.04)

Industry:
- Health & Medicine > Therapeutic Area > Neurology (1.00)

Technology:
- Information Technology
  - Artificial Intelligence
    - Machine Learning
      - Learning Graphical Models
        Directed Networks > Bayesian Learning (0.68)
        Undirected Networks > Markov Models (0.46)
      - Statistical Learning (1.00)
    - Representation & Reasoning > Uncertainty
      - Bayesian Inference (0.68)
  - Data Science (0.93)

Duplicate Docs Excel Report

Title
Point process models for sequence detection in high-dimensional neural spike trains

Similar Docs Excel Report more

Title	Similarity	Source
None found