- Memory and Neural Mechanisms
- Neuroscience and Neuropharmacology Research
- Neural dynamics and brain function
- Sleep and Wakefulness Research
- Zebrafish Biomedical Research Applications
- Neuroinflammation and Neurodegeneration Mechanisms
- Neuroscience and Neural Engineering
- EEG and Brain-Computer Interfaces
- Photoreceptor and optogenetics research
- Gaussian Processes and Bayesian Inference
- Gene Regulatory Network Analysis
- Circadian rhythm and melatonin
- Optical Imaging and Spectroscopy Techniques
- Dementia and Cognitive Impairment Research
- Neurobiology and Insect Physiology Research
- Functional Brain Connectivity Studies
- Stress Responses and Cortisol
- Spacecraft and Cryogenic Technologies
- CCD and CMOS Imaging Sensors
- Vestibular and auditory disorders
- Diet and metabolism studies
- Spaceflight effects on biology
- Single-cell and spatial transcriptomics
- Cognitive Science and Mapping
- Engineering Applied Research
University College London
2012-2024
University of Cambridge
2018-2024
Allen Institute
2024
Allen Institute for Neural Dynamics
2024
Harvard University
2024
Imperial College London
2009
We determined how learning modifies neural representations in primary visual cortex (V1) during acquisition of a visually guided behavioral task. imaged the activity same layer 2/3 neuronal populations as mice learned to discriminate two patterns while running through virtual corridor, where one pattern was rewarded. Improvements performance were closely associated with increasingly distinguishable population-level task-relevant stimuli, result stabilization existing and recruitment new...
How to Make a Place Cell Hippocampal place cells have been studied for more than 40 years, yet the mechanisms underlying their remarkable spatial tuning are still not established. Using whole-cell patch-clamp recordings in freely moving rats, Lee et al. (p. 849 ) changed baseline membrane potential hippocampal pyramidal neurons. fields arose spontaneously otherwise silent after depolarization when voltage reached threshold. hippocampus and grid entorhinal cortex thought provide framework...
Climbing fiber input produces complex spike synchrony across populations of cerebellar Purkinje cells oriented in the parasagittal axis. Elucidating fine spatial structure this is crucial for understanding its role encoding and processing sensory information within olivocerebellar cortical circuit. We investigated these issues using <i>in vivo</i> multineuron two-photon calcium imaging combination with theoretic analysis. Spontaneous dendritic transients linked to climbing were observed...
The mechanisms behind grid cell changes When cells were first discovered in the brain, grids considered to have rigid coordinates beyond borders of testing environments. However, recent findings suggest that pattern can be altered easily by changing space enclosure. But how? Krupic et al. local geometry environment shifted individual neighboring fields, while more distant fields remained unchanged. Thus, structure are localized. Stable landmarks continue exert an effect on most cells,...
Neuropixels probes represent the state-of-the-art for high-yield electrophysiology in neuroscience: simultaneous recording of hundreds neurons is now routinely carried out head-restrained animals. In contrast, neural unrestrained animals, as well and tracking over days, remains challenging, though it possible using chronic implants. A major challenge availability simple methods that can be implemented with limited or no prior experience probes, while achieving reliable, reusable, versatile...
The mammalian hippocampal formation provides neuronal representations of environmental location but the underlying mechanisms are unclear. majority cells in medial entorhinal cortex and parasubiculum show spatially periodic firing patterns. Grid exhibit hexagonal symmetry form an important subset this more general class. Occasional changes between non-hexagonal patterns imply a common mechanism. Importantly, symmetrical properties strongly affected by geometry environment. Here, we introduce...
Grid cells and place represent the spatiotemporal continuum of an animal's past, present, future locations. However, their relationship is unclear. Here, we co-record grid in freely foraging rats. We show that average time shifts tend to be prospective are proportional spatial scale, providing a nearly instantaneous readout spectrum progressively increasing horizons ranging hundreds milliseconds. Average generally larger compared also increase with field sizes. Moreover, display nonlinear...
Automated home-cage monitoring systems present a valuable tool for comprehensive phenotyping of natural behaviors. However, current often involve complex training routines, water or food restriction, and probe limited range Here, we fully automated system cognitive behavioral in mice. The incorporates T-maze alternation, novel object recognition, object-in-place recognition tests combined with locomotion, drinking, quiescence patterns, all carried out over long periods. Mice learn the tasks...
Neuropixels probes represent the state-of-the-art for high-yield electrophysiology in neuroscience: simultaneous recording of hundreds neurons is now routinely carried out head-restrained animals. In contrast, neural unrestrained animals, as well and tracking over days, remains challenging, though it possible using chronic implants. A major challenge availability simple methods that can be implemented with limited or no prior experience probes, while achieving reliable, reusable, versatile...
Abstract We present practical solutions to applying Gaussian‐process (GP) methods calculate spatial statistics for grid cells in large environments. GPs are a data efficient approach inferring neural tuning as function of time, space, and other variables. discuss how design appropriate kernels cells, show that variational Bayesian log‐Gaussian Poisson models can be calculated quickly. This class has closed‐form expressions the evidence lower‐bound, estimated rapidly certain parameterizations...
Grid cells recorded in the parahippocampal formation of freely moving rodents provide a strikingly periodic representation self-location whose underlying mechanism has been subject intense interest. Our previous work(1) showed that grid represent most stable subset larger continuum spatially (SPCs) which deviate from hexagonal symmetry observed cells. Recently Navratilova et al(2) suggested our findings reflected poor isolation spikes multiple cells, rather than existence actual non-grid...
Our brains may perceive distance differently in environments with polarized geometry
Abstract We present practical solutions to applying Gaussian-process methods calculate spatial statistics for grid cells in large environments. Gaussian processes are a data efficient approach inferring neural tuning as function of time, space, and other variables. discuss how design appropriate kernels cells, show that variational Bayesian log-Gaussian Poisson models can be calculated quickly. This class has closed-form expressions the evidence lower-bound, estimated rapidly certain...
Neuropixels probes represent the state-of-the-art for high-yield electrophysiology in neuroscience: simultaneous recording of hundreds neurons is now routinely carried out head-restrained animals. In contrast, neural unrestrained animals, as well and tracking over days, remains challenging, though it possible using chronic implants. A major challenge availability simple methods that can be implemented with limited or no prior experience probes, while achieving reliable, reusable, versatile...
Long-term memory tests are commonly used to facilitate the diagnosis of hippocampal-related neurological disorders such as Alzheimer’s disease due their relatively high specificity and sensitivity damage medial temporal lobes compared standard clinical tests. Pathological changes in start years before formal is made, partially testing too late. This proof-of-concept exploratory study aimed assess feasibility introducing an unsupervised digital platform for continuous long-term over long...
Abstract Comprehensive ethologically-relevant behavioural phenotyping in rodent experiments is essential for deciphering the neural basis of animal cognition. Automated home-cage monitoring systems present a valuable tool to fulfil this need. However, they often involve complex training routines, water or food deprivation, and probe limited range behaviours. Here, we new fully automated AI-driven system cognitive mice. The incorporates spontaneous alternation T-maze, novel-object recognition...
Summary Grid cells and place constitute the basic building blocks of medial entorhinal-hippocampal spatial cognitive map by representing spatiotemporal continuum an animal’s past, present future locations. However, relationship between these different cell types is unclear. Here we co-recorded grid in freely foraging rats. We show that average time shifts tend to be prospective are proportional their scale, providing a nearly instantaneous readout spectrum progressively increasing horizons...