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Synaptic plasticity and memory addressing in biological and artificial neural networks
Biological brains are composed of neurons, interconnected by synapses to create large complex networks. Learning and memory occur, in large part, due to synaptic plasticity -- modifications in the efficacy of information transmission through these synaptic connections. Artificial neural networks model these with neural "units" which communicate through synaptic weights. Models of learning and memory propose synaptic plasticity rules that describe and predict the weight modifications. An equally important but under-evaluated question is the selection of \textit{which} synapses should be updated in response to a memory event. In this work, we attempt to separate the questions of synaptic plasticity from that of memory addressing.
Chapter 1 provides an overview of the problem of memory addressing and a summary of the solutions that have been considered in computational neuroscience and artificial intelligence, as well as those that may exist in biology. Chapter 2 presents in detail a solution to memory addressing and synaptic plasticity in the context of familiarity detection, suggesting strong feedforward weights and anti-Hebbian plasticity as the respective mechanisms. Chapter 3 proposes a model of recall, with storage performed by addressing through local third factors and neo-Hebbian plasticity, and retrieval by content-based addressing. In Chapter 4, we consider the problem of concurrent memory consolidation and memorization. Both storage and retrieval are performed by content-based addressing, but the plasticity rule itself is implemented by gradient descent, modulated according to whether an item should be stored in a distributed manner or memorized verbatim. However, the classical method for computing gradients in recurrent neural networks, backpropagation through time, is generally considered unbiological. In Chapter 5 we suggest a more realistic implementation through an approximation of recurrent backpropagation.
Taken together, these results propose a number of potential mechanisms for memory storage and retrieval, each of which separates the mechanism of synaptic updating -- plasticity -- from that of synapse selection -- addressing. Explicit studies of memory addressing may find applications not only in artificial intelligence but also in biology. In artificial networks, for example, selectively updating memories in large language models can help improve user privacy and security. In biological ones, understanding memory addressing can help with health outcomes and treating memory-based illnesses such as Alzheimers or PTSD
Involvement of Astrocytes in the Formation, Maintenance, and Function of the Blood-Brain Barrier
: The blood-brain barrier (BBB) is a fundamental structure that protects the composition of the brain by determining which ions, metabolites, and nutrients are allowed to enter the brain from the blood or to leave it towards the circulation. The BBB is structurally composed of a layer of brain capillary endothelial cells (BCECs) bound to each other through tight junctions (TJs). However, its development as well as maintenance and properties are controlled by the other brain cells that contact the BCECs: pericytes, glial cells, and even neurons themselves. Astrocytes seem, in particular, to have a very important role in determining and controlling most properties of the BBB. Here, we will focus on these latter cells, since the comprehension of their roles in brain physiology has been continuously expanding, even including the ability to participate in neurotransmission and in complex functions such as learning and memory. Accordingly, pathological conditions that alter astrocytic functions can alter the BBB's integrity, thus compromising many brain activities. In this review, we will also refer to different kinds of in vitro BBB models used to study the BBB's properties, evidencing its modifications under pathological conditions
Search for long lived particles decaying into the semi leptonic di-tau final state with the ATLAS detector at the LHC
Many theoretical extensions of the Standard Model predict the existence of new long-lived particles that are within the discovery reach of the Large Hadron Collider (LHC).
This thesis presents a search for long-lived particles that decay to a pair of tau leptons, one then decaying hadronically and the other leptonically. Tau final states are on the interface between leptonic and hadronic searches and are much less thoroughly constrained.
Several approaches are taken to address some of the experimental challenges encountered in the search for displaced hadronic taus. The development of a novel tau track classification algorithm capable of accurately identifying tracks belonging to taus decaying to one or three charged pions is detailed. The resulting displaced track classifier demonstrates significantly higher efficiency compared to the nominal recommendations. Enhancements made to the existing ATLAS track classification algorithm in preparation for Run 3 data taking at the LHC are also outlined.
A newly developed RNN-based algorithm for identifying displaced tau leptons is presented in this thesis. When combined with the displaced track classification algorithm, this results in a displaced tau identification procedure that significantly improves background rejection and signal acceptance for displaced taus in a model-independent way. With efficiency gains of classifying 1-prong taus from about 40% to 80% and 3-prong taus from about 20% to 60%.
The thesis primarily presents a methodology combining reconstruction and identification techniques which are then folded into an analysis targeting exotic long-lived particles decaying to tau leptons. This signature-driven analysis targets the first stringent limits on long-lived particles decaying to third generation leptons. Major steps in this analysis have been taken and results presented
Finite-time projective synchronization of fractional-order delayed quaternion-valued fuzzy memristive neural networks
In this paper, the finite-time projective synchronization (FTPS) problem of fractionalorder quaternion-valued fuzzy memristor neural networks (FOQVFMNNs) is studied. Through establishing a feedback controller with signed functions and an adaptive controller, sufficient conditions for FTPS for FOQVFMNNs are obtained. Furthermore, the synchronization establishment time is calculated. Finally, the practicability of the conclusions is verified by numerical simulations
Multidisciplinary perspectives on Artificial Intelligence and the law
This open access book presents an interdisciplinary, multi-authored, edited collection of chapters on Artificial Intelligence (‘AI’) and the Law. AI technology has come to play a central role in the modern data economy. Through a combination of increased computing power, the growing availability of data and the advancement of algorithms, AI has now become an umbrella term for some of the most transformational technological breakthroughs of this age. The importance of AI stems from both the opportunities that it offers and the challenges that it entails. While AI applications hold the promise of economic growth and efficiency gains, they also create significant risks and uncertainty. The potential and perils of AI have thus come to dominate modern discussions of technology and ethics – and although AI was initially allowed to largely develop without guidelines or rules, few would deny that the law is set to play a fundamental role in shaping the future of AI. As the debate over AI is far from over, the need for rigorous analysis has never been greater. This book thus brings together contributors from different fields and backgrounds to explore how the law might provide answers to some of the most pressing questions raised by AI. An outcome of the Católica Research Centre for the Future of Law and its interdisciplinary working group on Law and Artificial Intelligence, it includes contributions by leading scholars in the fields of technology, ethics and the law.info:eu-repo/semantics/publishedVersio
Extracellular ATP/adenosine dynamics in the brain and its role in health and disease
Extracellular ATP and adenosine are neuromodulators that regulate numerous neuronal functions in the brain. Neuronal activity and brain insults such as ischemic and traumatic injury upregulate these neuromodulators, which exert their effects by activating purinergic receptors. In addition, extracellular ATP/adenosine signaling plays a pivotal role in the pathogenesis of neurological diseases. Virtually every cell type in the brain contributes to the elevation of ATP/adenosine, and various mechanisms underlying this increase have been proposed. Extracellular adenosine is thought to be mainly produced via the degradation of extracellular ATP. However, adenosine is also released from neurons and glia in the brain. Therefore, the regulation of extracellular ATP/adenosine in physiological and pathophysiological conditions is likely far more complex than previously thought. To elucidate the complex mechanisms that regulate extracellular ATP/adenosine levels, accurate methods of assessing their spatiotemporal dynamics are needed. Several novel techniques for acquiring spatiotemporal information on extracellular ATP/adenosine, including fluorescent sensors, have been developed and have started to reveal the mechanisms underlying the release, uptake and degradation of ATP/adenosine. Here, we review methods for analyzing extracellular ATP/adenosine dynamics as well as the current state of knowledge on the spatiotemporal dynamics of ATP/adenosine in the brain. We focus on the mechanisms used by neurons and glia to cooperatively produce the activity-dependent increase in ATP/adenosine and its physiological and pathophysiological significance in the brain
Combining gene-editing with brain imaging: from genes to molecules to networks
"Receptors, transporters and ion channels are important targets for therapy development in neurological diseases, [...] but their mechanistic role in pathogenesis is often poorly understood. Gene-editing and in vivo imaging approaches will help to identify the molecular and functional role of these targets and the consequence of their regional dysfunction on whole-brain level. Here, we combine CRISPR/Cas9 gene-editing with in vivo PET and fMRI to investigate the direct link between genes, molecules, and the brain connectome. The extensive knowledge of the Slc18a2 gene encoding the VMAT2, involved in the storage and release of DA, makes it an excellent target for studying the gene networks relationships while structurally preserving neuronal integrity and function. We edited the Slc18a2 in the SNc of adult rats and used in vivo molecular imaging besides behavioral, histological, and biochemical assessments to characterize the CRISPR/Cas9-mediated VMAT2 KD.
Simultaneous PET/fMRI was performed to inspect the molecular and functional brain adaptations, beyond the predicted dopaminergic changes.
We found a regional increase in postsynaptic DA receptor availability, preceded by a reorganization of brain networks that adapt to reduced DA transmission states by becoming functionally connected and organized. We observed that FC adaptations are stage-specific and follow the selective impairment of presynaptic DA storage and release. Further, the observed hyperconnectivity within and between brain networks spreads from the contralateral thalamus and prefrontal cortical regions to the striata and hippocampi.
Our study reveals that recruiting different brain networks is an early response to the dopaminergic dysfunction preceding neuronal cell loss. Our combinatorial approach is a novel tool to investigate the impact of specific genes on brain molecular and functional dynamics which will help to develop tailored therapies for normalizing brain function. The method can easily be transferred to higher- order species allowing for a direct comparison of the molecular imaging findings" [1].
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Future studies could benefit from in vivo reporter gene PET probes to quantitatively assess and monitor the Cas9 and sgRNA brain expression over time [38, 220]. Indeed, in vivo reporter gene imaging is a powerful tool to monitor gene therapy and image exogenous gene expression in the brain of preclinical models of neurological diseases. Despite several reporter genes have been developed in the last years, these show major limitations. Indeed, most available reporter gene systems are based on endogenously expressed genes, resulting in high background binding or low brain uptake.
Here, we characterized the pharmacokinetics and metabolism of [11C]TMP, a novel PET reporter probe which binds to EcDHFR-engineered cells and shows potential for imaging ectopic gene expression in xenografted tumor models in vitro and in vivo [47].
We found that [11C]TMP presents several unfavorable characteristics; dependency on PgP efflux transport at the BBB, hindering its brain uptake in the rat species, and in vivo metabolism, hampering the PET data quantification.
Our study shows that [11C]TMP is not a suitable PET reporter gene probe to image exogeneous gene expression in the rat brain, presenting low brain uptake and fast metabolism.
Future studies should focus on the investigation of different targets and the development of [11C]TMP analogs with more favorable pharmacokinetics and detectability, which are neither PgP substrate nor rapidely metabolized.
[1].Marciano et al., PNAS, 202
Purification of the neurodegenerative disease associated protein TDP-43 and development of TDP-43 aggregation inhibitors.
Transactive response DNA-binding protein-43 (TDP-43) is a protein that has been implicated in multiple neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD). In these diseases, TDP-43 is found aggregated in the cytoplasm of neurones in the brain and spinal cord and it is hypothesised that this aggregation leads to neuronal degeneration. Despite identification of TDP-43 as a constituent of pathological aggregates in 2006, progress in biochemical characterisation of TDP-43 and its aggregation has been limited by an inability to purify sufficient soluble protein to allow characterisation. In this study, a novel method for the purification of TDP-43 has been developed. The resulting purified protein exists in multiple oligomeric states depending on buffer conditions, displays evidence of secondary structural content by circular dichroism spectroscopy and in preliminary studies demonstrates DNA binding activity. A TDP-43 C-terminal fragment was also purified and a fluorescence-based assay developed to monitor its aggregation, with transmission electron microscopy (TEM) used to image the aggregates produced. In this assay, small molecules were tested as aggregation inhibitors. Following minimal success re-purposing generic aggregation inhibitor molecules, a series of targeted peptide-based inhibitors were designed. The third-generation peptide inhibitors, designed with the aid of the artificial intelligence system AlphaFold, reduced the aggregation of the C-terminal fragment, with TEM identifying changes to the morphology of the aggregates produced. Finally, a “druggable” Saccharomyces cerevisiae yeast cell model of TDP-43 proteinopathy was developed, in which molecules with potential as TDP-43 aggregation inhibitors can be tested further
A Critical Review Of Post-Secondary Education Writing During A 21st Century Education Revolution
Educational materials are effective instruments which provide information and report new discoveries uncovered by researchers in specific areas of academia. Higher education, like other education institutions, rely on instructional materials to inform its practice of educating adult learners. In post-secondary education, developmental English programs are tasked with meeting the needs of dynamic populations, thus there is a continuous need for research in this area to support its changing landscape. However, the majority of scholarly thought in this area centers on K-12 reading and writing. This paucity presents a phenomenon to the post-secondary community. This research study uses a qualitative content analysis to examine peer-reviewed journals from 2003-2017, developmental online websites, and a government issued document directed toward reforming post-secondary developmental education programs. These highly relevant sources aid educators in discovering informational support to apply best practices for student success. Developmental education serves the purpose of addressing literacy gaps for students transitioning to college-level work. The findings here illuminate the dearth of material offered to developmental educators. This study suggests the field of literacy research is fragmented and highlights an apparent blind spot in scholarly literature with regard to English writing instruction. This poses a quandary for post-secondary literacy researchers in the 21st century and establishes the necessity for the literacy research community to commit future scholarship toward equipping college educators teaching writing instruction to underprepared adult learners
Effects of municipal smoke-free ordinances on secondhand smoke exposure in the Republic of Korea
ObjectiveTo reduce premature deaths due to secondhand smoke (SHS) exposure among non-smokers, the Republic of Korea (ROK) adopted changes to the National Health Promotion Act, which allowed local governments to enact municipal ordinances to strengthen their authority to designate smoke-free areas and levy penalty fines. In this study, we examined national trends in SHS exposure after the introduction of these municipal ordinances at the city level in 2010.MethodsWe used interrupted time series analysis to assess whether the trends of SHS exposure in the workplace and at home, and the primary cigarette smoking rate changed following the policy adjustment in the national legislation in ROK. Population-standardized data for selected variables were retrieved from a nationally representative survey dataset and used to study the policy action’s effectiveness.ResultsFollowing the change in the legislation, SHS exposure in the workplace reversed course from an increasing (18% per year) trend prior to the introduction of these smoke-free ordinances to a decreasing (−10% per year) trend after adoption and enforcement of these laws (β2 = 0.18, p-value = 0.07; β3 = −0.10, p-value = 0.02). SHS exposure at home (β2 = 0.10, p-value = 0.09; β3 = −0.03, p-value = 0.14) and the primary cigarette smoking rate (β2 = 0.03, p-value = 0.10; β3 = 0.008, p-value = 0.15) showed no significant changes in the sampled period. Although analyses stratified by sex showed that the allowance of municipal ordinances resulted in reduced SHS exposure in the workplace for both males and females, they did not affect the primary cigarette smoking rate as much, especially among females.ConclusionStrengthening the role of local governments by giving them the authority to enact and enforce penalties on SHS exposure violation helped ROK to reduce SHS exposure in the workplace. However, smoking behaviors and related activities seemed to shift to less restrictive areas such as on the streets and in apartment hallways, negating some of the effects due to these ordinances. Future studies should investigate how smoke-free policies beyond public places can further reduce the SHS exposure in ROK
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