Author: Anthony M Zador

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Preprints

A Critique of Pure Learning: What Artificial Neural Networks can Learn from Animal Brains

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Conneconomics: The Economics of Dense, Large-Scale, High-Resolution Neural Connectomics

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High-throughput mapping of single neuron projections by sequencing of barcoded RNA

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A self-initiated two-alternative forced choice paradigm for head-fixed mice

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High-throughput mapping of long-range neuronal projection using in situ sequencing

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A standardized and reproducible method to measure decision-making in mice

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A single-cell anatomical blueprint for intracortical information transfer from primary visual cortex

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BRICseq bridges brain-wide interregional connectivity to neural activity and gene expression in single animals

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Single-cell molecular connectomics of intracortically-projecting neurons

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Efficient in situ barcode sequencing using padlock probe-based BaristaSeq

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SYNPLA: A synapse-specific method for identifying learning-induced synaptic plasticity loci

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Selective corticostriatal plasticity during acquisition of an auditory discrimination task

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Sources of PCR-induced distortions in high-throughput sequencing datasets

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A new Defective Helper RNA to produce Sindbis virus that infects neurons but does not propagate

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Corticostriatal Plasticity Established by Initial Learning Persists After Behavioral Reversal

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