The neural mechanisms of intelligence
Senior Research Fellow
tel: +44 20 3108 8017
We study how the brain creates intelligence. Specifically, we focus on how the cortex constructs a representation of the environment: How is this representation learned? How is it encoded in the activity of neural networks? How is it used to control intelligent behaviour?
What is the role of mammalian cortex? Evolution clearly suggests that this area of the brain is important for intelligent behaviour, but what exactly does it do?
The Kampff Group develops new assays to identify, characterize, and classify behaviours that require cortex. These assays introduce controlled complexity into an environment to recreate challenges encountered in the natural world, the actual challenges that nervous systems evolved to overcome. Our teleology projects provide the conceptual foundation for the lab's research; we believe that it will be much easier to understand how cortex works when we have a better idea about what it does.
The Kampff Group also develops the tools required to understand how cortex functions; tools that allow us to monitor and manipulate cortical activity at a network scale.
We are now testing novel devices for simultaneously recording from large populations of neurons throughout the brain. These devices are built with modern techniques for microfabrication (CMOS) and have the potential to record the electrical activity of thousands of individual neurons simultaneously.
- Group Members
- Selected Publications
- T-SNE visualization of large-scale neural recordings, Dimitriadis G, Neto JP, Kampff AR, bioXriv.
- A robust role for motor cortex, Lopes G, Nogueira J, Paton JJ, Kampff AR, bioXriv.
- Validating silicon polytrodes with paired juxtacellular recordings:
method and dataset, Neto JP, Lopes G, Frazão J, Nogueira J, Lacerda P,
Baião P, Aarts A, Andrei A, Musa S, Fortunato E, Barquinha P, Kampff
AR, Journal of Neurophysiology. 2016 August; 116(2): 892-903.
- Development of social behavior in young zebrafish, Dreosti E,
Lopes G, Kampff AR, Wilson SW, Frontiers in Neural Circuits. 2015; 9
- Motor cortex is required for learning but not for executing a
motor skill, Kawai R, Markman T, Poddar R, Ko R, Behlum A, Fantaa A,
Dhawale A, Kampff AR, Ölveczky BO. Neuron. 2015 May; 86 (3): 800–812.
- Bonsai: An event-based framework for processing and controlling
data streams, Lopes G, Bonacchi N, Frazão J, Neto JP, Atallah BV, Soares
S, Moreira L, Matias S, Itskov PM, Correia PA, Medina RE, Calcaterra L,
Dreosti E, Paton JJ, Kampff AR. Frontiers in Neuroinformatics. 2015;
- Cortical control: Learning from the lamprey, Lopes G, Kampff AR. Current Biology. 2015 Mar; 25(5): 203-205.
- Big behavioral data: psychology, ethology and the foundations of
neuroscience, Gomez-Marin A, Paton JJ, Kampff AR, Costa RM & Mainen
ZF. Nature Neuroscience. 2014 Nov; 17(11): 1455–1462.
- Prey capture behavior evoked by simple visual stimuli in larval
zebrafish, Bianco IH, Kampff AR, Engert F. Frontiers in Systems
Neuroscience. 2011; 5:101.
- Monitoring neural activity with bioluminescence during natural behavior, Naumann EA*, Kampff AR*, Prober DA, Schier AF, Engert F. Nature Neuroscience. 2010 Apr; 13(4): 513-20. *equal contribution