Model unit counts within each area.

Figshare2019-11-14 更新2026-04-29 收录

视觉皮层计算建模

三维视觉感知模拟

数据链接：

https://figshare.com/articles/dataset/Model_unit_counts_within_each_area_/10307882 数据链接链接失效反馈

官方服务：

资源简介：

*MSTd units tuned to ground patterns were added in Simulation 2. **Disparity tuning was incorporated in Simulation 3.

创建时间：

2019-11-14

Facemap: a framework for modeling neural activity based on orofacial tracking

口面部行为神经解码

视觉皮层计算建模

Neural activity, face camera data, and behavioral tracking from 16 large-scale recordings from visual cortex, and the train/test data for the Facemap keypoint tracker. Please see the paper and code re

Figshare2023-11-02 更新20

Inferring neural circuit properties from optogenetic stimulation

光遗传学

视觉皮层计算建模

Optogenetics has become an important tool for perturbing neural circuitry with unparalleled temporal precision and cell-type specificity. However, direct activation of a specific subpopulation of neu

NIAID Data Ecosystem20

Training and test data, plus saved models for the paper "Top-down inference in an early visual cortex inspired hierarchical Variational Autoencoder" submitted to NeurIPS 2022

分层变分自编码器

视觉皮层计算建模

Each file is in the pickle format and was generated with Python 3.8.5. Each file contains a Python dictionary with the following fields: 'train_images': 640,000 float32 images used for model training.

Zenodo2023-12-05 更新00

VisNetMat3code.

视觉皮层计算建模

变换不变表示学习

How transform-invariant visual representations of objects and faces are learned in the ventral visual cortical pathway is a massive computational problem. Here we describe key advances towards a biolo

NIAID Data Ecosystem20

Training and test data, plus saved models for the paper "Top-down inference in an early visual cortex inspired hierarchical Variational Autoencoder" submitted to NeurIPS 2022

变分自编码器生成模型

视觉皮层计算建模

Zenodo2023-12-05 更新00