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File109 - Mental imagery in the human brain: In space and time2017-062021-01

Reference code: PT/FB
Entity holding: BIAL Foundation
Location: S. Mamede do Coronado
Title:
BIAL Foundation Archive
Start date: 1994
History:
The BIAL Foundation was created in 1994 by Laboratórios BIAL in conjunction with the Council of Rectors of Portuguese Universities. BIAL’s Foundation mission is to foster the scientific study of Man from both the physical and spiritual perspectives.
Along the years the BIAL Foundation has developed an important relationship with the scientific community, first in Portugal and after worldwide. Today it is an institution of reference which aims to stimulate new researches that may help people, promote more health and contribute to new milestones to gain access to knowledge.
Among its activities the BIAL Foundation manages the BIAL Award, created in 1984, one of the most important awards in the Health field in Europe. The BIAL Award rewards both the basic and the clinical research distinguishing works of major impact in medical research.
The BIAL Foundation also assigns Scientific Research Scholarships for the study of neurophysiological and mental health in people, arousing the interest of researchers in the areas of Psychophysiology and Parapsychology.
To date the BIAL Foundation has supported 461 projects, more than 1000 researchers, with research groups in twenty-seven countries, resulting, until April 2013, in about 600 full papers, out of which 172 published in indexed international journals with an average impact factor of 3.6 and a substantial number of citations (1665).
Since 1996 the BIAL Foundation organizes the Symposia entitled "Behind and Beyond the Brain", a Forum that gathers well renowned neurosciences speakers and the BIAL Foundation Fellows which are spread around the world.
Classified as an institution of public utility, the BIAL Foundation includes among its patrons the Portuguese President, the Portuguese Universities Rectors' Council and the Portuguese Medical Association.
URL: http://www.bial.com/pt/
Accessibility: By permission

Reference code: PT/FB/BL
Entity holding: BIAL Foundation
Title: BIAL Grants
Start date: 1994
History:
In 1994 the BIAL Foundation launched a programme of science research grants with the aim of encouraging the research into Man’s physical and mental processes, namely in fields still largely unexplored but which warrant further scientific analysis, as Psychophysiology and Parapsychology.
Since its launch, applications to the BIAL grants have been increasing. Up to now 461 projects have been supported, involving more than 1000 researchers from 27 countries.
The approved applications have benefited from grants in amounts comprised between €5,000 and €50, 000. The amount to be granted is fixed by the Scientific board according to the needs of each project.
The supported projects have originated, until April 2013, in about 600 full papers, 172 out of which were published in indexed international journals with an average impact factor of 3.6 and a substantial number of citations (1665).
Among the BIAL Foundation fellows is worth highlighting the presence of scientists from prestigious universities from the United States, United Kingdom, Australia, Russia, Germany, Japan, France, Canada, and many others.
The BIAL grants are promoted biannually.

Reference code: PT/FB/BL-2016
Location: BF-GMS
Title:
2016 Grants
Start date: 2017-01

Reference code: PT/FB/BL-2016-109
Location: BF-GMS
Title:
109 - Mental imagery in the human brain: In space and time
Duration: 2017-06 - 2021-01
Researcher(s):
Leila Reddy
Institution(s): Centre de Recherche Cerveau et Cognition - CerCo, Centre National de la Recherche Scientifique, Toulouse (France)
Contents: Contents:
Application form
Correspondence
Research Funding Agreement
Progress report
Final report
Author: Reddy, L.
Number of reproductions:
1
Keywords:
Mental imagery / Top-down processes / Intracranial EEG, fMRI, LFPs in humans / Space and time / Psychophysiology
DocumentReconstructing faces from fMRI patterns using deep generative neural networks2019

Reference code: PT/FB
Entity holding: BIAL Foundation
Location: S. Mamede do Coronado
Title:
BIAL Foundation Archive
Start date: 1994
History:
The BIAL Foundation was created in 1994 by Laboratórios BIAL in conjunction with the Council of Rectors of Portuguese Universities. BIAL’s Foundation mission is to foster the scientific study of Man from both the physical and spiritual perspectives.
Along the years the BIAL Foundation has developed an important relationship with the scientific community, first in Portugal and after worldwide. Today it is an institution of reference which aims to stimulate new researches that may help people, promote more health and contribute to new milestones to gain access to knowledge.
Among its activities the BIAL Foundation manages the BIAL Award, created in 1984, one of the most important awards in the Health field in Europe. The BIAL Award rewards both the basic and the clinical research distinguishing works of major impact in medical research.
The BIAL Foundation also assigns Scientific Research Scholarships for the study of neurophysiological and mental health in people, arousing the interest of researchers in the areas of Psychophysiology and Parapsychology.
To date the BIAL Foundation has supported 461 projects, more than 1000 researchers, with research groups in twenty-seven countries, resulting, until April 2013, in about 600 full papers, out of which 172 published in indexed international journals with an average impact factor of 3.6 and a substantial number of citations (1665).
Since 1996 the BIAL Foundation organizes the Symposia entitled "Behind and Beyond the Brain", a Forum that gathers well renowned neurosciences speakers and the BIAL Foundation Fellows which are spread around the world.
Classified as an institution of public utility, the BIAL Foundation includes among its patrons the Portuguese President, the Portuguese Universities Rectors' Council and the Portuguese Medical Association.
URL: http://www.bial.com/pt/
Accessibility: By permission

Reference code: PT/FB/BL
Entity holding: BIAL Foundation
Title: BIAL Grants
Start date: 1994
History:
In 1994 the BIAL Foundation launched a programme of science research grants with the aim of encouraging the research into Man’s physical and mental processes, namely in fields still largely unexplored but which warrant further scientific analysis, as Psychophysiology and Parapsychology.
Since its launch, applications to the BIAL grants have been increasing. Up to now 461 projects have been supported, involving more than 1000 researchers from 27 countries.
The approved applications have benefited from grants in amounts comprised between €5,000 and €50, 000. The amount to be granted is fixed by the Scientific board according to the needs of each project.
The supported projects have originated, until April 2013, in about 600 full papers, 172 out of which were published in indexed international journals with an average impact factor of 3.6 and a substantial number of citations (1665).
Among the BIAL Foundation fellows is worth highlighting the presence of scientists from prestigious universities from the United States, United Kingdom, Australia, Russia, Germany, Japan, France, Canada, and many others.
The BIAL grants are promoted biannually.

Reference code: PT/FB/BL-2016
Location: BF-GMS
Title:
2016 Grants
Start date: 2017-01

Reference code: PT/FB/BL-2016-109
Location: BF-GMS
Title:
109 - Mental imagery in the human brain: In space and time
Duration: 2017-06 - 2021-01
Researcher(s):
Leila Reddy
Institution(s): Centre de Recherche Cerveau et Cognition - CerCo, Centre National de la Recherche Scientifique, Toulouse (France)
Contents: Contents:
Application form
Correspondence
Research Funding Agreement
Progress report
Final report
Author: Reddy, L.
Number of reproductions:
1
Keywords:
Mental imagery / Top-down processes / Intracranial EEG, fMRI, LFPs in humans / Space and time / Psychophysiology

Reference code: PT/FB/BL-2016-109.02
Location: BF-GMS
Title:
Reconstructing faces from fMRI patterns using deep generative neural networks
Publication year: 2019
URL:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6529435/
Abstract/Results: ABSTRACT:
Although distinct categories are reliably decoded from fMRI brain responses, it has proved more difficult to distinguish visually similar inputs, such as different faces. Here, we apply a recently developed deep learning system to reconstruct face images from human fMRI. We trained a variational auto-encoder (VAE) neural network using a GAN (Generative Adversarial Network) unsupervised procedure over a large data set of celebrity faces. The auto-encoder latent space provides a meaningful, topologically organized 1024-dimensional description of each image. We then presented several thousand faces to human subjects, and learned a simple linear mapping between the multi-voxel fMRI activation patterns and the 1024 latent dimensions. Finally, we applied this mapping to novel test images, translating fMRI patterns into VAE latent codes, and codes into face reconstructions. The system not only performed robust pairwise decoding (>95% correct), but also accurate gender classification, and even decoded which face was imagined, rather than seen.
Accessibility: Dcoument exists in file
Language:
eng
Author:
VanRullen, R.
Secondary author(s):
Reddy, L.
Document type:
Article
Number of reproductions:
1
Percentiles:
4
Reference:
VanRullen, R., & Reddy, L. (2019). Reconstructing faces from fMRI patterns using deep generative neural networks. Communications Biology, 2: 193. https://doi.org/10.1038/s42003-019-0438-y
2-year Impact Factor: 4.165|2019
Times cited: 56|2024-02-12
Indexed document: Yes
Quartile: Q1
Keywords: Perception / Machine learning

Reconstructing faces from fMRI patterns using deep generative neural networks

Reconstructing faces from fMRI patterns using deep generative neural networks
DocumentFinal report - Reconstructing faces from fMRI patterns using deep generative neural networks2021

Reference code: PT/FB
Entity holding: BIAL Foundation
Location: S. Mamede do Coronado
Title:
BIAL Foundation Archive
Start date: 1994
History:
The BIAL Foundation was created in 1994 by Laboratórios BIAL in conjunction with the Council of Rectors of Portuguese Universities. BIAL’s Foundation mission is to foster the scientific study of Man from both the physical and spiritual perspectives.
Along the years the BIAL Foundation has developed an important relationship with the scientific community, first in Portugal and after worldwide. Today it is an institution of reference which aims to stimulate new researches that may help people, promote more health and contribute to new milestones to gain access to knowledge.
Among its activities the BIAL Foundation manages the BIAL Award, created in 1984, one of the most important awards in the Health field in Europe. The BIAL Award rewards both the basic and the clinical research distinguishing works of major impact in medical research.
The BIAL Foundation also assigns Scientific Research Scholarships for the study of neurophysiological and mental health in people, arousing the interest of researchers in the areas of Psychophysiology and Parapsychology.
To date the BIAL Foundation has supported 461 projects, more than 1000 researchers, with research groups in twenty-seven countries, resulting, until April 2013, in about 600 full papers, out of which 172 published in indexed international journals with an average impact factor of 3.6 and a substantial number of citations (1665).
Since 1996 the BIAL Foundation organizes the Symposia entitled "Behind and Beyond the Brain", a Forum that gathers well renowned neurosciences speakers and the BIAL Foundation Fellows which are spread around the world.
Classified as an institution of public utility, the BIAL Foundation includes among its patrons the Portuguese President, the Portuguese Universities Rectors' Council and the Portuguese Medical Association.
URL: http://www.bial.com/pt/
Accessibility: By permission

Reference code: PT/FB/BL
Entity holding: BIAL Foundation
Title: BIAL Grants
Start date: 1994
History:
In 1994 the BIAL Foundation launched a programme of science research grants with the aim of encouraging the research into Man’s physical and mental processes, namely in fields still largely unexplored but which warrant further scientific analysis, as Psychophysiology and Parapsychology.
Since its launch, applications to the BIAL grants have been increasing. Up to now 461 projects have been supported, involving more than 1000 researchers from 27 countries.
The approved applications have benefited from grants in amounts comprised between €5,000 and €50, 000. The amount to be granted is fixed by the Scientific board according to the needs of each project.
The supported projects have originated, until April 2013, in about 600 full papers, 172 out of which were published in indexed international journals with an average impact factor of 3.6 and a substantial number of citations (1665).
Among the BIAL Foundation fellows is worth highlighting the presence of scientists from prestigious universities from the United States, United Kingdom, Australia, Russia, Germany, Japan, France, Canada, and many others.
The BIAL grants are promoted biannually.

Reference code: PT/FB/BL-2016
Location: BF-GMS
Title:
2016 Grants
Start date: 2017-01

Reference code: PT/FB/BL-2016-109
Location: BF-GMS
Title:
109 - Mental imagery in the human brain: In space and time
Duration: 2017-06 - 2021-01
Researcher(s):
Leila Reddy
Institution(s): Centre de Recherche Cerveau et Cognition - CerCo, Centre National de la Recherche Scientifique, Toulouse (France)
Contents: Contents:
Application form
Correspondence
Research Funding Agreement
Progress report
Final report
Author: Reddy, L.
Number of reproductions:
1
Keywords:
Mental imagery / Top-down processes / Intracranial EEG, fMRI, LFPs in humans / Space and time / Psychophysiology

Reference code: PT/FB/BL-2016-109.01
Location: BF-GMS
Title:
Final report - Reconstructing faces from fMRI patterns using deep generative neural networks
Publication year: 2021
URL:
https://www.bial.com/media/3488/mental-imagery-in-the-human-brain.pdf
Abstract/Results: ABSTRACT:
BACKGROUND
Mental imagery is the ability to voluntarily generate internal representations via topdown modulation, without any concurrent bottom-up input.
AIMS
While viewed and imagined objects from different categories can be reliably decoded from
fMRI brain response patterns, it has proved more difficult to distinguish visually similar inputs,
such as different instances of the same category. Here, we aimed to reconstruct the face a subject
was looking at or imagining, and to investigate the time course of visual perception and mental
imagery with intracranial EEG.
METHOD
We applied a recently developed deep learning system to the reconstruction of face images from human fMRI patterns. We trained a variational auto-encoder (VAE) neural network using a GAN (Generative Adversarial Network) unsupervised training procedure over a large dataset of celebrity faces. The auto-encoder latent space provides a meaningful, topologically organized 1024-dimensional description of each image. We then presented several thousand face images to human subjects, and learned a simple linear mapping between the multi-voxel fMRI activation patterns and the 1024 latent dimensions. Finally, we applied this mapping to novel test images, turning the obtained fMRI patterns into VAE latent codes, and ultimately the codes into face reconstructions.
The time course of mental imagery was examined with intra-cranial EEG. Participants were asked to view or imagine different object categories. Using MVPA techniques we decoded object information during visual perception and mental imagery.
RESULTS
Qualitative and quantitative evaluation of the fMRI reconstructions revealed robust pairwise decoding (>95% correct), and a strong improvement relative to a baseline model (PCA decomposition). Furthermore, the technique allowed for accurate gender classification, and decoding which face was imagined, rather than seen by the subject. Decoding performance with the intracranial EEG signals revealed robust decoding between perception and imagery, and also robust item-level decoding in both conditions.
CONCLUSIONS
We hypothesize that the latent space of modern deep learning generative models could serve as a valid approximation for human brain representations. Furthermore, we show that the neural signatures of visual object information during perception and imagery are robust and allow for successful decoding. These representations share common information during the perception and imagery conditions.
Accessibility: Document exists in file
Language:
eng
Author:
Reddy, L.
Document type:
Final report
Number of reproductions:
1
Reference:
Reddy, L. (2021). Final report - Reconstructing faces from fMRI patterns using deep generative neural networks.
Indexed document: No
Keywords: Mental imagery / Intracranial EEG / Functional magnetic resonance imaging (fMRI) / LFPs in humans

Final report - Reconstructing faces from fMRI patterns using deep generative neural networks

Final report - Reconstructing faces from fMRI patterns using deep generative neural networks