---
layout: default
title: "vfmapping"
comments: true
---
# **Population Receptive Field (pRF) mapping**
This pipeline relies on `CUDA` (with `tensorflow`and `cuda` v.12.8 in an NVIDIA RTX 1000 Ada GPU). However, in the abscenece of a correctly installed nvidia card, `tensorflow` defaults to CPU parallelization. For the initial grid search, `prfpy` also uses CPU parallelization and is threrefore quite fast.
brainCoder `pyenv` environment requirements
aiobotocore==2.24.2
aiohappyeyeballs==2.6.1
aiohttp==3.12.15
aioitertools==0.12.0
aiosignal==1.4.0
anyio==4.11.0
argon2-cffi==25.1.0
argon2-cffi-bindings==25.1.0
arrow==1.3.0
asttokens==3.0.0
astunparse==1.6.3
async-lru==2.0.5
attrs==25.3.0
babel==2.17.0
beautifulsoup4==4.13.5
bleach==6.2.0
blessed==1.22.0
botocore==1.40.18
bqplot==0.12.45
braincoder @ git+https://github.com/Gilles86/braincoder.git@e6567b4e4812fabf6f041df9165d21828dcc7005
cachetools==5.5.2
certifi==2025.8.3
cffi==2.0.0
charset-normalizer==3.4.3
cloudpickle==3.1.1
comm==0.2.3
contourpy==1.3.3
cuda-bindings==13.0.1
cuda-pathfinder==1.2.3
cuda-python==13.0.1
cycler==0.12.1
debugpy==1.8.17
decorator==5.2.1
defusedxml==0.7.1
dm-tree==0.1.9
executing==2.2.1
fastjsonschema==2.21.2
flatbuffers==25.9.23
flexcache==0.3
flexparser==0.4
fonttools==4.60.0
fqdn==1.5.1
frozenlist==1.7.0
fsspec==2025.9.0
gast==0.6.0
google-auth==2.40.3
google-auth-oauthlib==1.2.2
google-pasta==0.2.0
gpustat==1.1.1
grpcio==1.75.1
h11==0.16.0
h5py==3.14.0
httpcore==1.0.9
httpx==0.28.1
idna==3.10
importlib_resources==6.5.2
ipydatawidgets==4.3.5
ipykernel==6.30.1
ipython==9.5.0
ipython-genutils==0.2.0
ipython_pygments_lexers==1.1.1
ipyvolume==0.6.3
ipyvue==1.11.3
ipyvuetify==1.11.3
ipywebrtc==0.6.0
ipywidgets==8.1.7
isoduration==20.11.0
jedi==0.19.2
Jinja2==3.1.6
jmespath==1.0.1
joblib==1.5.2
json5==0.12.1
jsonpointer==3.0.0
jsonschema==4.25.1
jsonschema-specifications==2025.9.1
jupyter-events==0.12.0
jupyter-lsp==2.3.0
jupyter_client==8.6.3
jupyter_core==5.8.1
jupyter_server==2.17.0
jupyter_server_terminals==0.5.3
jupyterlab==4.4.8
jupyterlab_pygments==0.3.0
jupyterlab_server==2.27.3
jupyterlab_widgets==3.0.15
keras==2.15.0
kiwisolver==1.4.9
lark==1.3.0
libclang==18.1.1
llvmlite==0.41.1
Markdown==3.9
markdown-it-py==4.0.0
MarkupSafe==3.0.2
matplotlib==3.10.6
matplotlib-inline==0.1.7
mdurl==0.1.2
mistune==3.1.4
ml-dtypes==0.2.0
multidict==6.6.4
namex==0.1.0
nbclient==0.10.2
nbconvert==7.16.6
nbformat==5.10.4
nest-asyncio==1.6.0
neuropythy @ git+https://github.com/noahbenson/neuropythy.git@44400c69434cc946feb0d789f7488b36deb3660e
nibabel==5.3.2
notebook==7.4.6
notebook_shim==0.2.4
numba==0.58.1
numpy==1.26.4
nvidia-cublas-cu12==12.9.1.4
nvidia-cuda-cupti-cu12==12.9.79
nvidia-cuda-nvcc-cu12==12.9.86
nvidia-cuda-nvrtc-cu12==12.9.86
nvidia-cuda-runtime-cu12==12.9.79
nvidia-cudnn-cu12==9.13.0.50
nvidia-cufft-cu12==11.4.1.4
nvidia-curand-cu12==10.3.10.19
nvidia-cusolver-cu12==11.7.5.82
nvidia-cusparse-cu12==12.5.10.65
nvidia-ml-py==13.580.82
nvidia-nccl-cu12==2.28.3
nvidia-nvjitlink-cu12==12.9.86
oauthlib==3.3.1
opt_einsum==3.4.0
optree==0.17.0
overrides==7.7.0
packaging==25.0
pandas==2.3.2
pandas_flavor==0.7.0
pandocfilters==1.5.1
parso==0.8.5
patsy==1.0.1
pexpect==4.9.0
pillow==11.3.0
pimms==0.3.25
pingouin==0.5.5
Pint==0.25
platformdirs==4.4.0
prometheus_client==0.23.1
prompt_toolkit==3.0.52
propcache==0.3.2
protobuf==4.25.8
psutil==7.1.0
ptyprocess==0.7.0
pure_eval==0.2.3
py4j==0.10.9.9
pyasn1==0.6.1
pyasn1_modules==0.4.2
pycparser==2.23
Pygments==2.19.2
pyparsing==3.2.5
pyrsistent==0.20.0
python-dateutil==2.9.0.post0
python-json-logger==3.3.0
pythreejs==2.4.2
pytz==2025.2
PyYAML==6.0.3
pyzmq==27.1.0
referencing==0.36.2
requests==2.32.5
requests-oauthlib==2.0.0
rfc3339-validator==0.1.4
rfc3986-validator==0.1.1
rfc3987-syntax==1.1.0
rich==14.1.0
rpds-py==0.27.1
rsa==4.9.1
s3fs==2025.9.0
scikit-learn==1.7.2
scipy==1.16.2
seaborn==0.13.2
Send2Trash==1.8.3
six==1.17.0
sniffio==1.3.1
soupsieve==2.8
stack-data==0.6.3
statsmodels==0.14.5
tabulate==0.9.0
tensorboard==2.15.2
tensorboard-data-server==0.7.2
tensorflow==2.15.0
tensorflow-estimator==2.15.0
tensorflow-io-gcs-filesystem==0.37.1
tensorflow-probability==0.23.0
termcolor==3.1.0
terminado==0.18.1
tf-keras==2.15.0
threadpoolctl==3.6.0
tinycss2==1.4.0
tornado==6.5.2
tqdm==4.67.1
traitlets==5.14.3
traittypes==0.2.1
types-python-dateutil==2.9.0.20250822
typing_extensions==4.15.0
tzdata==2025.2
uri-template==1.3.0
urllib3==2.5.0
wcwidth==0.2.14
webcolors==24.11.1
webencodings==0.5.1
websocket-client==1.8.0
Werkzeug==3.1.3
widgetsnbextension==4.0.14
wrapt==1.14.2
xarray==2025.9.0
yarl==1.20.1
### Questions? 🦉