
Overview
Neural Encoding Simulation Toolkit (NEST) is a resource consisting of multiple pre-trained encoding models of the brain and an accompanying Python package to generate accurate in silico neural responses to arbitrary stimuli with just a few lines of code.
Features and programs
Open Data Sponsorship Program
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This is a publicly available data set. No subscription is required.
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- Pre-trained neural encoding models
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::neural-encoding-simulation-toolkit
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://neural-encoding-simulation-toolkit/
Resources
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How to cite
Neural Encoding Simulation Toolkit (NEST) was accessed on DATE from https://registry.opendata.aws/neural_encoding_simulation_toolkit .
License
CC BY-NC 4.0. For Terms & Conditions, see https://neural-encoding-simulation-toolkit.readthedocs.io/en/latest/about/terms_and_conditions.html
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