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Selective Vision Laboratory

Selective Vision Laboratory, Jasper Poort, Department of Psychology

The aim of the Selective Vision Lab, led by Dr. Jasper Poort and based at the Department of Psychology in Cambridge, is to understand how our brain is able to selectively process that sensory information that is most relevant for decision-making. This capacity is crucial given the constant bombardment of data on our senses and the limited capacity of the brain. Altered selection of information is associated with cognitive deficits observed in neurodevelopmental disorders such as schizophrenia and autism.

Lab Website: http://selectivevisionforaction.blogspot.co.uk/

Contact jp816@cam.ac.uk

The lab currently has an opening for a PhD position to study inhibitory mechanisms for selection of visual information in mice and humans (collaboration with the lab of Prof. Zoe Kourtzi): PhD starting Oct 2019 (apply by December 5 2018): http://www.jobs.cam.ac.uk/job/19340/ 

We are also looking for postdoctoral researchers, who are interested in using 2-photon imaging and optogenetics to understand the circuit mechanisms of visual learning and attention, to join the lab in the beginning of 2019. If you would like to know more please send an e-mail.

 

To increase our understanding of the neural circuit mechanisms that underlie sensory selection, our research is focused on the following topics:

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1) The effects of learning on neural activity in early visual areas (specialized in representing detailed feature information) and high-level visual cortical areas (closely linked to decision-making). What are the long-term neuronal response changes when we learn what sensory features are relevant, and how do they improve decision-making? We are particularly interested in perceptual learning, a type of learning that enables us to become visual experts and make discriminations that are impossible for the untrained eye.

2) The effects of attentional selection on neural activity: what are the neuronal changes in early and high-level visual areas that enable fast and flexible task-dependent selection of information? How are circuits for attention related to circuits for learning?

We study these questions in mice performing visually-guided decisions, taking advantage of similarities between the rodent and primate visual systems, and unique genetic research methods available in mice to dissect neuronal circuits. We collaborate with labs studying learning and attention in primates and humans to drive translation of our research results.

Long-term 2-photon imaging in identified cell-types combined with optogenetic cell-type specific targeting allows us to both measure and manipulate specific circuit components to establish their contribution to behaviour. By studying these circuits in both healthy mice and genetic mouse models of schizophrenia, including mouse models of 22q11.2 deletion syndrome (the biggest known genetic risk factor for schizophrenia), we can begin to unravel the conditions that determine both successful and unsuccessful sensory selection.

To generalize our results on learning and attention in controlled visual conditions, we additionally develop new tools to measure both behaviour and neural activity in mice freely behaving in more complex and natural environments

Collaborators in Cambridge

 External Collaborators

 

Publications:

  • Meyer, A.F.*, Poort, J.*, O'Keefe, J., Sahani, M., Linden, J.F. (2018) A head-mounted camera system integrates detailed behavioral monitoring with multichannel electrophysiology in freely moving mice. Neuron, 10, 46-60. (* equal contribution) Link to Article  
  • Khan, A.*, Poort, J.*, Chadwick, A.*, Blot, A.*, Sahani, M., Mrsic-Flogel, T., Hofer, S. (2018). Distinct learning-induced changes in stimulus selectivity and interactions of GABAergic interneuron classes in visual cortex. Nature Neuroscience, 21, 851-859. (* equal contribution) Link to Article 
  • Poort, J.*, Self, M.W. *, van Vugt, B., Malkki, H.A.I., Roelfsema, P.R. (2016). Texture segregation causes early figure enhancement and later ground suppression in areas V1 and V4 of visual cortex. Cereb. Cortex, 26:3964–3976. Corresponding author. (* equal contribution) Link to Article 
  • Poort, J. *, Khan, A.G. *, Pachitariu, M., Nemri, A., Orsolic, I., Krupic, J., Bauza, M., Sahani, M., Keller, G., Mrsic-Flogel, T.D., and Hofer, S.B. (2015). Learning Enhances Sensory and Multiple Non-sensory Representations in Primary Visual Cortex. Neuron 86, 1478–1490. (* equal contribution) Link to Article
  • van Kerkoerle, T., Self, M, Dagnino, B., Gariel, MA., Poort, J., van der Togt, C., and Roelfsema, P.R. (2014) Alpha and gamma oscillations characterize feedback and feed-forward processing in monkey visual cortex. Proc. Natl. Acad. Sci. USA, 111, 14332-14341. Link to Article
  • Pooresmaeili, A., Poort, J., Roelfsema, P.R. (2014) Simultaneous selection by object-based attention in visual and frontal cortex. Proc. Natl. Acad. Sci. USA. 111, 6467–6472. Link to Article
  • Poort, J., Raudies, F., Wannig, A., Lamme, V.A.F., Neumann, H., Roelfsema, P.R. (2012) The role of attention in figure-ground segregation in areas V1 and V4 of the visual cortex, Neuron, 75, 143-156. Link to Article
  • Poort, J., Pooresmaeili, A., Roelfsema, P.R. Multi-neuron representations of visual attention (2011). Chapter 3 in Understanding visual population codes: towards a common multivariate framework for cell recording and functional imaging. Editors Nikolaus Kriegeskorte and Gabriel Kreiman. MIT Press. https://mitpress.mit.edu/books/visual-population-codes
  • Schoffelen, J-M., Poort, J., Oostenveld, R. and Fries, P. (2011). Selective movement preparation is subserved by selective increases in cortico-muscular gamma-band coherence. J. Neurosci., 31, 6750-6758. Link to Article
  • Pooresmaeili, A., Poort, J., Thiele, A. and Roelfsema, P.R. (2010). Separable Codes for Attention and Luminance Contrast in the Primary Visual Cortex. J. Neurosci., 30, 12701-12711. Link to Article
  • Poort, J. and Roelfsema, P.R. (2009). Noise Correlations Have Little Influence on the Coding of Selective Attention in Area V1. Cereb. Cortex, 19, 543-553. Corresponding author. Link to Article