Biology subjects

London, M.

Publications and source records attributed to London, M..

18 recordsLinked to original sources

bioRxiv2026

What can a neuron compute

Cortical pyramidal neurons possess elaborate dendritic trees with diverse nonlinear membrane conductances and thousands of plastic synapses, suggesting substantial computational capabilities at the single-cell level. Yet, what can a neuron compute remains an open question, largely due to the lack of a systematic framework to quantify its computational capabilities. We introduce TwinProp, a digital-twin-based backpropagation algorithm that enables gradient-based optimization of synaptic strengths and dendritic locations in detailed neuron models via a millisecond-accurate deep neural network (DNN). Using TwinProp, we demonstrate that a detailed model of rat layer 5 pyramidal cell (L5PC) can perform naturalistic image and audio classification tasks at a remarkably high accuracy, significantly surpassing perceptron and leaky integrate-and-fire baselines. The same neuron solves high-dimensional nonlinear problems, including exclusive-or (XOR), 10-bit parity, and random Boolean tasks, demonstrating capabilities typically attributed to multilayer networks. Mechanistically, increasing task complexity recruits distributed dendritic nonlinearities, including NMDA- and voltage-dependent mechanisms; removing these or collapsing dendritic structure markedly impairs performance. These findings identify dendrites as a substrate for high-order feature binding and position single cortical pyramidal neurons as powerful, noise-robust, general-purpose analog computational units. Our results offer testable in vivo predictions and provide a systematic framework linking cellular morpho-electrical properties to computation in both brains and artificial systems.

neuroscience↗

bioRxiv2025

Astrocytic Activation Completely Corrects Memory Performancein an Alzheimer's Disease Model

Neural and glial dysfunction are thought to underlie memory impairments in Alzheimers disease (AD). Conversely, astrocytes are known to play a central role in the healthy brain, and their activation has been shown to enhance memory. To test whether activation of astrocytes can correct memory deficits associated with AD, we expressed hM3Dq in CA1 astrocytes of 7 months old 5XFAD AD model mice, enabling astrocytic chemogenetic Gq pathway activation, following exposure to CNO. We report that astrocytic activation results in complete memory correction, and even memory improvement of AD model mice beyond that of untreated WT levels. We went further to discover the mechanisms underlying this memory improvement in AD mice: First, using 2-photon imaging and electrophysiology, we observed increased neuronal activity (displayed as elevated cFos expression and amplified awake Ca2+ events) as well as augmented in-vivo long term plasticity following astrocytic activation. Subsequently, we observed increased astrocytic endocytosis of A{beta} plaques. Finally, we report that the beneficial effects of astrocytic activation remained stable for an entire year, and persisted beyond the window of astrocytic Gq activation. Our findings that astrocytes correct memory impairments in an AD model could have important clinical implications towards treating this disease.

neuroscience↗

bioRxiv2025

All-optical electrophysiology reveals behavior-dependent dynamics of excitation and inhibition in the hippocampus

Understanding how neuronal integration is modulated by behavior is a fundamental goal in neuroscience. We combined voltage imaging with optogenetic depolarization to reveal how changes in excitatory (E) and inhibitory (I) inputs, modulate the spiking output, subthreshold dynamics, and gain of key genetically defined cell types in the CA1 region of the hippocampus. We imaged pyramidal cells (PCs), vasoactive intestinal peptide (VIP), somatostatin (SST), and parvalbumin (PV) interneurons (INs) and found that locomotion reduced firing in PCs and VIP INs while increasing activity in SST and PV cells. Prolonged optical depolarization experiments and simulations revealed that intracellular theta oscillations are predominantly driven by inhibitory inputs in PCs and VIP cells. Firing rate-laser intensity (F-I) curves revealed distinct gain modulation across cell types, with a divisive gain reduction in PC bursting during locomotion, while simple spikes are unaffected. A two-compartment model suggested that this results from a balanced E/I input increase to somatic and dendritic compartments. These findings reveal how behavioral state-dependent coordination of excitation and inhibition governs hippocampal neuronal dynamics and output-specific gain modulation.

neuroscience↗

bioRxiv2024

What makes human cortical pyramidal neurons functionally complex

Humans exhibit unique cognitive abilities within the animal kingdom, but the neural mechanisms driving these advanced capabilities remain poorly understood. Human cortical neurons differ from those of other species, such as rodents, in both their morphological and physiological characteristics. Could the distinct properties of human cortical neurons help explain the superior cognitive capabilities of humans? Understanding this relationship requires a metric to quantify how neuronal properties contribute to the functional complexity of single neurons, yet no such standardized measure currently exists. Here, we propose the Functional Complexity Index (FCI), a generalized, deep learning-based framework to assess the input-output complexity of neurons. By comparing the FCI of cortical pyramidal neurons from different layers in rats and humans, we identified key morpho-electrical factors that underlie functional complexity. Human cortical pyramidal neurons were found to be significantly more functionally complex than their rat counterparts, primarily due to differences in dendritic membrane area and branching pattern, as well as density and nonlinearity of NMDA-mediated synaptic receptors. These findings reveal the structural-biophysical basis for the enhanced functional properties of human neurons.

neuroscience↗

bioRxiv2023

Antimicrobial overproduction sustains intestinal inflammation by inhibiting Enterococcus colonization

Loss of antimicrobial proteins such as REG3 family members compromises the integrity of the intestinal barrier. Here, we demonstrate that overproduction of REG3 proteins can also be detrimental by reducing a protective species in the microbiota. Patients with inflammatory bowel disease (IBD) experiencing flares displayed heightened levels of secreted REG3 proteins that mediated depletion of Enterococcus faecium (Efm) from the gut microbiota. Efm inoculation of mice ameliorated intestinal inflammation through activation of the innate immune receptor NOD2, which was associated with the bacterial DL-endopeptidase SagA. Microbiota sensing by NOD2 in myeloid cells mediated IL-1{beta} secretion and increased the proportion of IL-22-producing CD4+ T helper cells and innate lymphoid cells. Finally, Efm was unable to protect mice carrying a NOD2 gene variant commonly found in IBD patients. Our findings demonstrate that inflammation self-perpetuates by causing aberrant antimicrobial activity that disrupts symbiotic relationships with gut microbes.

immunology↗

bioRxiv2022

Cortical circuits modulate mouse social vocalizations

Vocalizations provide a means of communication with high fidelity and information rate for many species. Male mice emit ultrasonic vocalizations (USVs) during female courtship. Diencephalon and brainstem neural circuits have been shown to control the production of USVs, however, the role of cortical circuits in this process is debatable. We show that male mice produced USVs following intracortical microstimulation (ICMS) in a specific location of their anterior cingulate cortex (ACC). Moreover, ACC Ca2+-imaging showed an increase in Ca2+ dynamics preceding USV initiation. Optogenetically suppressing ACC activity caused mice to emit fewer USVs during courtship. Neuropixel electrophysiological recordings in head-restrained male mice indicated a differential increase in neural activity in response to female social exposure (SE). The firing rate in SE trials where USVs were emitted was significantly higher when compared to SE leading to silence. Taken together, these results indicate that the ACC is a key node in the neuronal circuits controlling USV production.

neuroscience↗

bioRxiv2022

Multiple Synaptic Contacts combined with Dendritic Filtering enhance Spatio-Temporal Pattern Recognition capabilities of Single Neurons

A cortical neuron typically makes multiple synaptic contacts on the dendrites of its postsynaptic target neuron. The functional implications of this apparent redundancy are unclear. Due to dendritic cable filtering, proximal dendritic synapses generate brief somatic postsynaptic potentials (PSPs) whereas distal synapses give rise to broader PSPs. Consequently, with multiple synaptic contacts, a single presynaptic spike results in a somatic PSP composed of multiple temporal profiles. We developed a "Filter-and-Fire" (F&F) neuron model that incorporates multiple contacts and cable filtering; it demonstrates threefold increase in memory capacity as compared to a leaky Integrate-and-Fire (I&F) neuron, when trained to emit precisely timed spikes for specific input patterns. Furthermore, the F&F neuron can learn to recognize spatio-temporal input patterns, e.g., MNIST digits, where the I&F model completely fails. We conclude that "dendro-plexing" single input spikes by multiple synaptic contacts enriches the computational capabilities of cortical neurons and can dramatically reduce axonal wiring.

neuroscience↗

bioRxiv2021

Newly recruited intraepithelial Ly6A+CCR9+CD4+ T cells protect against enteric viral infection

The intestinal epithelium comprises the bodys largest surface exposed to viruses. However, a role for intraepithelial T lymphocytes in resistance against viral infections remain elusive. By fate-mapping T cells recruited to the murine intestinal epithelium, we observed accumulation of CD4+ T cells after infection with murine norovirus (MNV) or mouse adenovirus type-2 (AdV), but not after reovirus infection. Intraepithelial CD4+ T cells recruited after MNV or AdV infection co-express Ly6A and CCR9, and exhibit T helper 1 and cytotoxic profiles. Although these cells display a diverse TCR repertoire, they conferred protection against AdV and MNV both in vivo and in an organoid co-culture model in an IFN-{gamma}-dependent manner. Ablation of the T cell receptor (TCR) or the transcription factor ThPOK in CD4+ T cells prior to infection prevented viral control, while TCR ablation during infection did not impact viral clearance. These results uncover a protective role for intraepithelial Ly6A+CCR9+CD4+ T cells against enteric viruses.

immunology↗

bioRxiv2021

The role of hub neurons in modulating cortical dynamics

Many neurodegenerative diseases are associated with the death of specific neuron types in particular brain regions. What makes the death of specific neuron types particularly harmful for the integrity and dynamics of the respective network is not well understood. To start addressing this question we used the most up-to-date biologically-realistic dense neocortical microcircuit (NMC) of rodent, which has reconstructed a volume of 0.3 mm3 and containing 31,000 neurons, 36 million synapses, and 55 morphological cell types arranged in 6 cortical layers. Using modern network science tools, we identified "hub-neurons" in the NMC, that are connected synaptically to a large number of their neighbors and systematically examined the impact of abolishing these cells. In general, the structural integrity of the network is robust to cells attack; yet, attacking hub neurons strongly impacted the "small worldness" topology of the network, whereas similar attacks on random neurons have a negligible effect. Such hub-specific attacks are also impactful on the network dynamics, both when the network is at its spontaneous synchronous state and when it was presented with synchronized thalamo-cortical visual-like input. We found that attacking layer 5 hub neurons are most harmful to the structural and functional integrity of the NMC. The significance of our results for understanding the role of specific neuron types and cortical layers for disease manifestation is discussed.

neuroscience↗

bioRxiv2020

Morphometric reconstructions atlas shows insult-driven plasticity in cortical VIP/ChAT interneurons

We developed an automatic morphometric reconstruction pipeline, Pop-Rec, and used it to study the morphologies of cortical cholinergic VIP/ChAT interneurons (VChIs). Cholinergic networks control high cognitive functions, but their local modulation and stress-driven plasticity patterns remained elusive. Reconstructing thousands of local VChIs registered to their exact coordinates in multiple cleared murine cortices highlighted distinct populations of bipolar and multipolar VChIs which differed in their dendritic spatial organization. Following mild unilateral whisker deprivation, Pop-Rec found both ipsi-and contra-lateral VChI dendritic arborization changes. Furthermore, RNA-seq of FACS-sorted VChIs showed differentially expressed dendritic, synapse and axon-modulating transcripts in whisker-deprived mice. Indicating novel steady-state morphological roles, those genes also clustered distinctly in naive single cell VChIs. This VChIs "morpheome" atlas is the first example of unbiased analysis of neuronal populations and holds the possibility to compare neuronal structure-function relationships across experimental conditions.

neuroscience↗

bioRxiv2020

Antigen-specific induction of CD4+CD8αα+ intraepithelial T lymphocytes byBacteroidetes species

The microbiome contributes to the development and maturation of the immune system1-3 In response to commensal bacteria, CD4+ T cells can differentiate into distinct functional subtypes with regulatory or effector functions along the intestine. Peripherally-induced Foxp3+-regulatory T cells (pTregs) maintain immune homeostasis at the intestinal mucosa by regulating effector T cell responses against dietary antigens and microbes4. Similarly to pTregs, a subset of small intestine intraepithelial lymphocytes CD4+CD8+ (CD4IELS) exhibit regulatory properties and promote tolerance against dietary antigens5. Development of CD4IELS from conventional CD4+ T cells or from Treg precursors depends on the microbiota5,6. However, the identity of the microbial antigens recognized by CD4IELs remains unknown. We identified species belonging to the Bacteroidetes phylum as commensal bacteria capable of generating CD4IEL from naive CD4+ T cells expressing the pTreg transnuclear (TN) monoclonal TCR6 as well as from polyclonal WT T cells. We found that {beta}-hexosaminidase, a widely conserved carbohydrate-metabolizing enzyme in the Bacteroidetes phylum, is recognized by TN T cells, which share their TCR specificity with CD4+ T cells found in the intraepithelial compartment of polyclonal specific-pathogen-free (SPF) mice. In a mouse model of colitis, {beta}-hexosaminidase-specific CD4IELs provided protection from ulceration of the colon and weight loss. Thus, a single T cell clone can recognize a variety of abundant commensal bacteria and elicit a regulatory immune response at the intestinal epithelial surface.

immunology↗

bioRxiv2020

T cell receptor is required for differentiation but not maintenance of intestinal intraepithelial lymphocytes

The gut epithelium is populated by intraepithelial lymphocytes (IELs), a heterogeneous T cell population with cytotoxic and regulatory properties. Migrating peripheral CD4+ T cells, including regulatory (Treg) and conventional T cells (Tconv), acquire an IEL (CD4-IEL) program upon arrival at the epithelium. However, the specific role of the T cell receptor (TCR) in this process remains unclear. Single-cell TCR repertoire and transcriptomic analysis of intraepithelial CD4+ T cells revealed different extents of clonal expansion and TCR overlap between cell states; fully differentiated CD4-IELs from Tregs or Tconvs were the least diverse. Conditional deletion of TCR on differentiating CD4+ T cells or of MHCII on intestinal epithelial cells prevented CD4-IEL differentiation. However, TCR ablation on developed CD4-IELs did not affect their accumulation. These results indicate that local recognition of a limited set of antigens is an essential signal for the differentiation and adaptation of T cells to the epithelium.

immunology↗

bioRxiv2020

Stepwise chromatin and transcriptional acquisition of an intraepithelial lymphocyte program

Mesenteric lymph node (mLN) T cells undergo tissue adaptation upon migrating to intestinal lamina propria (LP) and intraepithelial (IE) compartments, ensuring appropriate balance between tolerance and resistance. By combining mouse genetics with single-cell and chromatin analyses, we addressed the molecular imprinting of gut epithelium on T cells. Transcriptionally, conventional and regulatory (Treg) CD4+ T cells from mLN, LP and IE segregate based on the gut layer they occupy; trajectory analysis suggests a stepwise loss of CD4-programming and acquisition of an intraepithelial profile. Treg fate-mapping coupled with RNA- and ATAC-sequencing revealed that the Treg program shuts down before an intraepithelial program becomes fully accessible at the epithelium. Ablation of CD4 lineage-defining transcription factor ThPOK results in premature acquisition of an IEL profile by mLN Tregs, partially recapitulating epithelium imprinting. Thus, coordinated replacement of circulating lymphocyte program with site-specific transcriptional and chromatin changes is necessary for tissue imprinting.

immunology↗

bioRxiv2019

Nonlinear relationship between multimodal adrenergic responses and local dendritic activity in primary sensory cortices

The axonal projections of the adrenergic system to the neocortex, originating from the locus coeruleus (LC), form a dense network. These axons release the neuromodulator norepinephrine (NE) which is involved in many cognitive functions such as attention, arousal, and working memory. Using two-photon Ca2+ imaging of NE axons in the cortex of awake mice, we investigated what drives their phasic activity. We discovered that NE axons in the primary somatosensory cortex responded robustly and reliably to somatosensory stimulation. Surprisingly, the same axons also responded to stimuli of other modalities (auditory and visual). Similar responses to all three modalities were observed in the primary visual cortex as well. These results indicate that phasic responses of NE axons to sensory stimuli provide a robust multimodal signal. However, despite the robustness, we also noticed consistent variations in the data. For example, responses to whisker stimulations were larger than to auditory and visual stimulations in both the barrel and the visual cortices. To test whether the variations in NE axonal responses can carry behaviorally meaningful information, we trained mice in an associative auditory fear conditioning paradigm. We found that following conditioning the response of NE axons increased only for CS+, namely the signal undergoes experience-dependent plasticity and is specific to meaningful sounds. To test if variations in NE axonal responses can differentially affect the cortical microcircuit, we used dual-color two-photon Ca2+ imaging and studied the relationship between the activity of NE axons and local dendrites. We found dendritic Ca2+ signals in barrel cortex in response to auditory stimuli, but these responses were variable and unreliable. Strikingly, the probability of such dendritic signals increased nonlinearly with the Ca2+ signals of NE axons. Our results demonstrate that the phasic activity of the noradrenergic neurons may serve as a robust multimodal and plastic signal in sensory cortices. Furthermore, the variations in the NE axonal activity carry behaviorally meaningful signals and can predict the probability of local dendritic Ca2+ events.

neuroscience↗

bioRxiv2019

High order structure in mouse courtship vocalizations

Many complex motor behaviors can be decomposed into sequences of simple individual elements. Mouse ultrasonic vocalizations (USVs) are naturally divided into distinct syllables and thus are useful for studying the neural control of complex sequences production. However, little is known about the rules governing their temporal order. We recorded USVs during male-female courtship (460,000 USVs grouped into 44,000 sequences) and classified them using three popular algorithms. Modeling the sequences as Markov processes revealed a significant temporal structure which was dependent on the specific classification algorithm. To quantify how syllable misclassification obscures the true underlying sequence structure, we used information theory. We developed the Syntax Information Score and ranked the syllable classifications of the three algorithms. Finally, we derived a novel algorithm (Syntax Information Maximization) that utilized sequence statistics to improve the classification of individual USVs with respect to the underlying sequence structure.

bioinformatics↗

bioRxiv2019

Astrocytes Contribute to Remote Memory Formation by Modulating Hippocampal-Cortical Communication During Learning

The consolidation and retrieval of remote memories depend on the coordinated activity of the hippocampus and frontal cortices. However, the exact time at which these regions are recruited to support memory and the interactions between them are still debated. Astrocytes can sense and modify neuronal activity with great precision, but their role in cognitive function has not been extensively explored. To investigate the role of astrocytes in remote memory we expressed the Gi-coupled receptor hM4Di in CA1 astrocytes, allowing their manipulation by a designer drug. We discovered that astrocytic modulation during learning resulted in a specific impairment in remote, but not recent, memory recall, accompanied by decreased neuronal activity in the anterior cingulate cortex (ACC) during retrieval. We revealed a massive recruitment of ACC-projecting neurons in CA1 during memory acquisition, accompanied by activation of ACC neurons. Astrocytic Gi activation disrupted CA3 to CA1 communication in-vivo, and reduced the downstream response in the ACC. This same manipulation in behaving mice induced a projection-specific inhibition of ACC-projecting CA1 neurons during learning, consequently preventing the recruitment of the ACC. Our findings suggest that the foundation of remote memory is established in the ACC during acquisition, engaging a distinct process from the one supporting consolidation of recent memory. Furthermore, the mechanism underlying remote memory involves projection-specific functions of astrocytes in regulating neuronal activity.

neuroscience↗

bioRxiv2019

Neuron Geometry Underlies a Universal Local Architecture in Neuronal Networks

Why do cortical microcircuits in a variety of brain regions express similar, highly nonrandom, network motifs? To what extent this structure is innate and how much of it is molded by plasticity and learning processes? To address these questions, we developed a general network science framework to quantify the contribution of neurons geometry and their embedding in cortical volume to the emergence of three-neuron network motifs. Applying this framework to a dense in silico reconstructed cortical microcircuits showed that the innate asymmetric neurons geometry underlies the universally recurring motif architecture. It also predicted the spatial alignment of cells composing the different triplets-motifs. These predictions were directly validated via in vitro 12-patch whole-cell recordings (7,309 triplets) from rat somatosensory cortex. We conclude that the local geometry of neurons imposes an innate, already structured, global network architecture, which serves as a skeleton upon which fine-grained structural and functional plasticity processes take place.

neuroscience↗

bioRxiv2019

Single Cortical Neurons as Deep Artificial Neural Networks

We introduce a novel approach to study neurons as sophisticated I/O information processing units by utilizing recent advances in the field of machine learning. We trained deep neural networks (DNNs) to mimic the I/O behavior of a detailed nonlinear model of a layer 5 cortical pyramidal cell, receiving rich spatio-temporal patterns of input synapse activations. A Temporally Convolutional DNN (TCN) with seven layers was required to accurately, and very efficiently, capture the I/O of this neuron at the millisecond resolution. This complexity primarily arises from local NMDA-based nonlinear dendritic conductances. The weight matrices of the DNN provide new insights into the I/O function of cortical pyramidal neurons, and the approach presented can provide a systematic characterization of the functional complexity of different neuron types. Our results demonstrate that cortical neurons can be conceptualized as multi-layered "deep" processing units, implying that the cortical networks they form have a non-classical architecture and are potentially more computationally powerful than previously assumed.

neuroscience↗