Connectomics

This Notice of Funding Opportunity (NOFO) invites applications proposing a Data Coordinating Center that integrates and disseminates multiscale mouse brain datasets for the aging and Alzheimer's disease (AD) research community. The Data Coordinating Center will establish the Aging and AD Mouse Brain Atlas (AD-MBA), which will serve as a central, unified research resource for multi-omic and connectomic mouse brain datasets emerging from the NIA AD Multimodal Atlas Projects (AD-MAPs). The Data Coordinating Center will (1) leverage the NIA-supported AD Knowledge Portal data infrastructure to faci

…within a programme on molecular connectomics in Drosophila. The programme develops methods to map neuronal gene and protein expression onto reference electron microscopy connectomes and uses them to study the development and organisation of sexually dimorphic circuits. The postdoc researches the development and function of neural circuits, develops and applies techniques, presents work at seminars and meetings, drafts papers and helps train PhD stude

E11 Bio is recruiting an experimental scientist to advance scalable mammalian brain connectomics. The role integrates tissue preparation, microscopy, quantitative analysis, and molecular engineering across reagent panels for comprehensive synapse identification and barcode-epitope readout.

…scalable mammalian brain mapping and connectomics technology.

…alignment, and integrate connectomics with molecular and physiological cell-type measurements. Work with anatomists, physiologists, theorists and modellers and publish the resulting research. The role is based at 615 Westlake Avenue North, Seattle, with most working hours on site and limited remote flexibility. Include a cover letter an

…Here, we leverage the large scale connectomics dataset MICrONS to analyze synchrony through the proxy of Pearson correlation across neurons at a larger scale in vivo with direct anatomi

Sensory, cognitive, and motor functions rely on transmission/integration of signals across multiple spatiotemporal scales which are fundamentally constrained by neuroanatomy. Uncovering connectivity patterns that shape signal propagation is thus of central importance to understanding brain computations. An organizational principle of the brain is anatomical/functional hierarchy, often conceptualized as signals propagating up from sensory areas to cognitive areas and down to motor areas. However, to determine if such a hierarchy is a sequential (e.g., MLP) or parallel (e.g., U-net) architecture

This webinar brings together three leaders in theoretical and computational neuroscience—Larry Abbott, Haim Sompolinsky, and Terry Sejnowski—to discuss how neural circuits generate fundamental aspects of the mind. Abbott illustrates mechanisms in electric fish that differentiate self-generated electric signals from external sensory cues, showing how predictive plasticity and two-stage signal cancellation mediate a sense of self. Sompolinsky explores attractor networks, revealing how discrete and continuous attractors can stabilize activity patterns, enable working memory, and incorporate chaot

Brain connectomics using large volume electron microscopy (vEM) has been developed in a few neuroscience laboratories. This methodology allows us to analyze synaptic connections on a large scale, such as cortical columnar wiring structures. We remodeled our automated tape collecting ultramicrotome (ATUM) to control the timing of cutting to achieve reliable collection of serial ultrathin sections on slots of a grid tape. These sections were securely and quite reliably placed at similar positions within each grid slot. A transmission EM (TEM) equipped with a high-throughput EM imaging system (Bl

AIMS: Though contemporary researches well investigate dysfunctions at extremes of age, i.e. children (neurodevelopmental disorders) or elderlies (neurodegenerative disorders), the integrative orchestration of global whole-brain connectivity across full-longevity ageing is much less studied. Accordingly, we investigate the adaptive reorganization of whole-brain connectivity along ageing spectrum. Our goal is to identify unitary processes characterizing life-span, whereby neuroprotection applications emerge.METHODS: We study lifespan transition, using 3-tesla MRI-DTI scans of 382 individuals (a

Glial cells show great diversity and differ in terms of their functional roles. Microglia, oligodendrocytes, and astrocytes interact with neurons and thus ensure the functionality of the neurons. However, little is known about how they interact with different neuronal cell types. We investigate glial and neuronal interactions in a connectomic dataset with a resolution that enables us to see synapses and subcellular structures. Our area X dataset, a singing-related basal ganglia nucleus, in the zebra finch contains thousands of neurons and a million synapses and different glial cell types: astr

…Over the past two decades, advances in connectomics and network neuroscience have opened new avenues for investigating polysynaptic communication in complex brain networks. Recent work has brought into question the mainstay assumption that connectome signalling occurs exclusively via shortest paths, resulting in a sprawling constellation of alternative network communication models. This Review surveys the latest developments in models of brain network communication. We begin by drawing

…for quantitatively relating connectomics data to theoretical ring attractor models. Here we introduce a novel theoretical framework for analyzing the space of threshold-linear ring a

…toolbox, ranging from optogenetics to connectomics. However, often these tools are coupled with reductionist approaches for linking nervous systems and behaviour. This course will introduce advanced techniques for measuring and analysing behaviour, as well as three fundamental principles as necessary to understan

3 short talks and a panel discussion on the topic of "Can connectomics help us understand the brain and sustain the revolution in AI?" Expect beautiful connectomics data, provocative dreaming, realistic critiques and everything in between. Students & post-docs, stay on to meet our 3 amazing speakers. Moderator: Dr Greg Jefferis https://www2.mrc-lmb.cam.ac.uk/group-leaders/h-to-m/gregory-jefferis/

Dysregulation of emotional processing and its integration with cognitive functions are central features of many mental/emotional disorders associated both with externalizing problems (aggressive, antisocial behaviors) and internalizing problems (anxiety, depression). As Dr. Joseph LeDoux, our invited speaker of this program, wrote in his famous book “Synaptic self: How Our Brains Become Who We Are”—the brain’s synapses—are the channels through which we think, act, imagine, feel, and remember. Synapses encode the essence of personality, enabling each of us to function as a distinctive, integrat

…Due to the recent connectomics explosion, they now study the brain-wide networks organizing visual information for behavior control. The team combines explorations of visually guided behaviors with functional investigations of specific cell types throughout the fly brain. The Reiser lab actively develops and disseminates new met

The human brain network architecture can reveal crucial aspects of brain function and dysfunction. The topology of this network (known as the connectome) is shaped by a trade-off between wiring cost and network efficiency, and it has highly connected hub regions playing a prominent role in many brain disorders. By studying a landscape of plausible brain networks that preserve the wiring cost, fragile and resilient hubs can be identified. In this webinar, Dr Leonardo Gollo and Dr James Pang from Monash University will discuss this approach across the lifespan and some of its implications for ne

…elegans, was an early sign of where connectomics is headed, followed by a long time of little progress in a field held back by the immense manual effort required for data acquisition and analysis. This changed over the last few years with several technological breakthroughs, which allowed increases in data set sizes by several orders of magnitude. Brain tissue can now be imaged in 3D up to a millimeter in size at nanometer resolution, revealing tissue features from synapses to the mitochondria of all contained cells.

…We are using anatomical insights from connectomics, genetic methods for labelling and manipulating identified cell types, neurophysiology, behaviour, and computational modeling to explain how the fly brain processes visual motion to regulate behaviour.