Christian Machens

Theoretical Neuroscience Lab

Champalimaud Neuroscience Programme

Welcome!

“In every special doctrine of nature only so much science proper can be found as there is mathematics in it" - Immanuel Kant (1724-1804)


How do the millions of neurons inside the brain coordinate their activity to make sense of the world and create behavior? This question stands at the center of our research. A lot of experimental labs address the question by measuring the behavior of animals, the electrical activity of neurons, the anatomical details of neural connectivity and so on. Our aim is to put order into these observations using the language of mathematics. More specifically, we develop methods to visualize and interpret neural recordings, we form theories of the computations implemented by neural circuits, and we construct models of the mechanisms underlying the computations. Many of the methods we apply are taken from physics, computer science, and engineering.

We are part of the Champalimaud Neuroscience Programme in Lisbon, Portugal, and have close ties with the Group for Neural Theory in Paris, France.

People

Christian Machens

Christian Machens

Principal Investigator


Dmitry Kobak

Dmitry Kobak

Post-Doc


Nuno Calaim

Nuno Calaim

PhD Student


João Semedo

João Semedo

PhD Student


Asma Motiwala

Asma Motiwala

PhD Student


Michael Pereira

Michael Pereira

PhD Student


Gonçalo Guiomar

Gonçalo Guiomar

Research Technician


Inês Guerreiro

Inês Guerreiro

Research Technician


Alumni

Florian Dehmelt

Florian Dehmelt

PhD Student


Pietro Vertechi

Pietro Vertechi

Research Technician


Pedro Gonçalves

Pedro Gonçalves

PhD Student


Adrien Wohrer

Adrien Wohrer

Post-Doc (GNT, Paris)


David Barrett

David Barrett

Post-Doc


Wieland Brendel

Wieland Brendel

PhD Student


Recent Publications

pdf download

Demixed principal component analysis of neural population data.

Kobak D, Brendel W, Constantinidis C, Feierstein CE, Kepecs A, Mainen ZF, Qi X, Romo R, Uchida N, Machens CK (2016), eLife 5:e10989.
pdf download

Striatal dynamics explain duration judgements.

Gouvêa TS, Monteiro T, Motiwala A, Soares S, Machens CK, Paton JJ (2015), eLife 4:e11386.
pdf download

On the number of neurons and time scale of integration underlying the formation of percepts in the brain.

Wohrer A, Machens CK (2015), PLoS Comput Biol 11(3):e1004082.
pdf download

Unsupervised learning of an efficient short-term memory network.

Vertechi P, Brendel W, Machens CK (2014), Advances in Neural Information Processing Systems 27:1-9.
pdf download

Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parameters.

Kobak D, Brendel W, Constantinidis C, Feierstein CE, Kepecs A, Mainen ZF, Romo R, Qi X, Uchida N, Machens CK (2014), arXiv:1410.6031.
pdf download

Variability in neural activity and behavior.

Renart A, Machens CK (2014), Current Opinion in Neurobiology 25:211-220.
pdf download

Optogenetic perturbations reveal the dynamics of an oculomotor integrator.

Gonçalves JP, Arrenberg AB, Hablitzel B, Baier H, Machens CK (2014), Frontiers in Neural Circuits 8:10.
pdf download

Population-wide distributions of neural activity during perceptual decision-making.

Wohrer A, Humphries MD, Machens CK (2013), Progress in Neurobiology 103:156-193.
pdf download

Predictive Coding of Dynamical Variables in Balanced Spiking Networks

Boerlin M, Machens CK, Deneve S (2013), PLOS Computational Biology 9(11).
pdf download link to original

Disentangling the functional consequences of the connectivity between optic-flow processing neurons.

Weber F, Machens CK, Borst A (2012), Nature Neuroscience 15:441-448.

A comprehensive list of publications can be found here.

How to find us

Theoretical Neuroscience Lab
Champalimaud Centre for the Unknown
Av. Brasília, Doca de Pedrouços
1400-038 LISBOA
Portugal



Email Lab Internal#