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		<lastmod>2026-03-14T23:44:40+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-2-2-surrogate-gradient-descent-i/topics/lecture-2-4-norse-lifcell-module/</loc>
		<lastmod>2026-03-14T23:48:07+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-2-2-surrogate-gradient-descent-i/topics/lecture-2-5-snntorch-leaky-module/</loc>
		<lastmod>2026-03-14T23:51:40+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-2-2-surrogate-gradient-descent-i/topics/lecture-2-6-gradient-analysis-and-training-diagnostics/</loc>
		<lastmod>2026-03-14T23:54:26+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-2-2-surrogate-gradient-descent-i/topics/lecture-2-7-first-n-mnist-training-run-results-and-interpretation/</loc>
		<lastmod>2026-03-14T23:55:59+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-3-surrogate-gradient-descent-ii/topics/lecture-3-1-why-depth-matters-the-case-for-a-third-hidden-layer/</loc>
		<lastmod>2026-03-15T00:28:21+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-3-surrogate-gradient-descent-ii/topics/lecture-3-2-weight-initialisation-for-lif-layers/</loc>
		<lastmod>2026-03-15T00:31:27+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-3-surrogate-gradient-descent-ii/topics/lecture-3-3-batch-normalisation-for-snns/</loc>
		<lastmod>2026-03-15T00:35:37+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-3-surrogate-gradient-descent-ii/topics/lecture-3-4-the-three-layer-snn-implementation/</loc>
		<lastmod>2026-03-15T00:37:20+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-3-surrogate-gradient-descent-ii/topics/lecture-3-5-training-the-three-layer-snn-n-mnist-baseline/</loc>
		<lastmod>2026-03-15T00:38:23+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-3-surrogate-gradient-descent-ii/topics/lecture-3-6-gradient-flow-analysis-in-the-three-layer-network/</loc>
		<lastmod>2026-03-15T00:39:34+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-3-surrogate-gradient-descent-ii/topics/lecture-3-7-surrogate-function-comparison-on-the-three-layer-network/</loc>
		<lastmod>2026-03-15T00:41:49+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-4-bptt-for-snns/topics/lecture-4-1-why-recurrence-from-feedforward-to-recurrent-snns/</loc>
		<lastmod>2026-03-15T01:07:59+00:00</lastmod>
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	<url>
		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-4-bptt-for-snns/topics/lecture-4-2-unrolling-bptt-the-computational-graph/</loc>
		<lastmod>2026-03-15T10:10:23+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-4-bptt-for-snns/topics/lecture-4-3-vanishing-gradients-in-recurrent-snns/</loc>
		<lastmod>2026-03-15T10:11:42+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-4-bptt-for-snns/topics/lecture-4-4-truncated-bptt-t_bptt-50-ms/</loc>
		<lastmod>2026-03-15T10:13:58+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-4-bptt-for-snns/topics/lecture-4-5-spectral-radius-scaling-and-initialisation-for-w_rec/</loc>
		<lastmod>2026-03-15T10:19:39+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-4-bptt-for-snns/topics/lecture-4-6-the-alif-neuron-adaptive-threshold/</loc>
		<lastmod>2026-03-15T10:20:36+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-4-bptt-for-snns/topics/lecture-4-7-training-the-rsnn-on-shd-full-baseline/</loc>
		<lastmod>2026-03-15T10:24:33+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-5-biologically-plausible-learning-e-prop/topics/lecture-5-1-the-four-biological-implausibilities-of-bptt/</loc>
		<lastmod>2026-03-15T10:43:37+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-5-biologically-plausible-learning-e-prop/topics/lecture-5-2-eligibility-traces-the-biological-memory-of-past-activity/</loc>
		<lastmod>2026-03-15T10:44:54+00:00</lastmod>
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	<url>
		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-5-biologically-plausible-learning-e-prop/topics/lecture-5-3-the-learning-signal-replacing-backpropagation-with-neuromodulation/</loc>
		<lastmod>2026-03-15T10:47:29+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-5-biologically-plausible-learning-e-prop/topics/lecture-5-4-e-prop-derivation-connecting-to-bptt/</loc>
		<lastmod>2026-03-15T10:49:02+00:00</lastmod>
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	<url>
		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-5-biologically-plausible-learning-e-prop/topics/lecture-5-5-pytorch-implementation-of-e-prop/</loc>
		<lastmod>2026-03-15T10:51:31+00:00</lastmod>
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	<url>
		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-5-biologically-plausible-learning-e-prop/topics/lecture-5-6-firing-rate-regularisation-in-e-prop/</loc>
		<lastmod>2026-03-15T10:56:06+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-5-biologically-plausible-learning-e-prop/topics/lecture-5-7-full-e-prop-training-on-shd-and-comparison-to-bptt/</loc>
		<lastmod>2026-03-15T10:57:25+00:00</lastmod>
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	<url>
		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-6-mid-term-project-week-2/topics/lecture-6-1-the-two-layer-recurrent-snn-architecture-and-forward-pass/</loc>
		<lastmod>2026-03-15T11:15:57+00:00</lastmod>
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	<url>
		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-6-mid-term-project-week-2/topics/lecture-6-2-xavier-initialisation-and-spectral-radius-for-the-two-layer-rsnn/</loc>
		<lastmod>2026-03-15T11:17:23+00:00</lastmod>
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	<url>
		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-6-mid-term-project-week-2/topics/lecture-6-3-training-the-two-layer-rsnn-with-truncated-bptt/</loc>
		<lastmod>2026-03-15T11:19:11+00:00</lastmod>
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	<url>
		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-6-mid-term-project-week-2/topics/lecture-6-4-training-the-two-layer-rsnn-with-e-prop/</loc>
		<lastmod>2026-03-15T11:21:39+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-6-mid-term-project-week-2/topics/lecture-6-5-synops-measurement-and-the-accuracy-vs-efficiency-trade-off/</loc>
		<lastmod>2026-03-15T11:23:44+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-6-mid-term-project-week-2/topics/lecture-6-6-written-analysis-comparing-bptt-and-e-prop-on-the-two-layer-snn/</loc>
		<lastmod>2026-03-15T11:25:13+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-6-mid-term-project-week-2/topics/lecture-6-7-project-guidelines-rubric-and-bridge-to-week-7/</loc>
		<lastmod>2026-03-15T11:26:56+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-7-the-lava-framework/topics/lecture-7-1-the-lava-programming-model-process-port-var/</loc>
		<lastmod>2026-03-15T11:39:56+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-7-the-lava-framework/topics/lecture-7-2-the-lif-process-and-the-dense-process/</loc>
		<lastmod>2026-03-15T11:41:57+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-7-the-lava-framework/topics/lecture-7-3-building-the-twolayerrsnn-as-a-lava-network/</loc>
		<lastmod>2026-03-15T11:43:17+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-7-the-lava-framework/topics/lecture-7-4-loading-pytorch-weights-into-lava/</loc>
		<lastmod>2026-03-15T11:44:59+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-7-the-lava-framework/topics/lecture-7-5-running-inference-on-the-cpu-backend/</loc>
		<lastmod>2026-03-15T11:48:02+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-7-the-lava-framework/topics/lecture-7-6-recurrent-connections-in-lava-and-the-alif-extension/</loc>
		<lastmod>2026-03-15T11:49:30+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-7-the-lava-framework/topics/lecture-7-7-on-chip-learning-block-and-bridge-to-week-8/</loc>
		<lastmod>2026-03-15T11:50:56+00:00</lastmod>
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	<url>
		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-8-weight-quantisation-for-deployment/topics/lecture-8-1-the-limits-of-post-training-quantisation/</loc>
		<lastmod>2026-03-15T12:06:53+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-8-weight-quantisation-for-deployment/topics/lecture-8-2-the-straight-through-estimator/</loc>
		<lastmod>2026-03-15T12:10:32+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-8-weight-quantisation-for-deployment/topics/lecture-8-3-implementing-qat-for-the-twolayerrsnn/</loc>
		<lastmod>2026-03-15T12:11:41+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-8-weight-quantisation-for-deployment/topics/lecture-8-4-quantisation-noise-and-the-fisher-information/</loc>
		<lastmod>2026-03-15T12:13:53+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-8-weight-quantisation-for-deployment/topics/lecture-8-5-per-layer-weight-scaling-and-mixed-precision-concepts/</loc>
		<lastmod>2026-03-15T12:16:17+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-8-weight-quantisation-for-deployment/topics/lecture-8-6-qat-vs-ptq-empirical-comparison-on-shd/</loc>
		<lastmod>2026-03-15T12:20:10+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-8-weight-quantisation-for-deployment/topics/lecture-8-7-loihi2hwcfg-and-the-physical-deployment-workflow/</loc>
		<lastmod>2026-03-15T12:21:21+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-9-neurobench-i-metrics-and-baselines/topics/lecture-9-1-neurobench-overview-and-the-synops-metric/</loc>
		<lastmod>2026-03-15T12:38:55+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-9-neurobench-i-metrics-and-baselines/topics/lecture-9-2-energy-and-latency-metrics-static-vs-streaming-benchmarks/</loc>
		<lastmod>2026-03-15T12:41:29+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-9-neurobench-i-metrics-and-baselines/topics/lecture-9-3-computing-neurobench-baselines-for-shd/</loc>
		<lastmod>2026-03-15T12:44:26+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-9-neurobench-i-metrics-and-baselines/topics/lecture-9-4-computing-neurobench-baselines-for-n-mnist/</loc>
		<lastmod>2026-03-15T12:48:05+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/topics/topic-16/</loc>
		<lastmod>2026-03-15T12:48:32+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-9-neurobench-i-metrics-and-baselines/topics/lecture-9-5-sparsity-regularisation-as-a-synops-reduction-technique/</loc>
		<lastmod>2026-03-15T12:50:18+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-9-neurobench-i-metrics-and-baselines/topics/lecture-9-6-the-pareto-frontier-of-accuracy-vs-synops/</loc>
		<lastmod>2026-03-15T12:53:18+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-9-neurobench-i-metrics-and-baselines/topics/lecture-9-7-sparsity-without-accuracy-loss-structural-and-temporal-approaches-bridge-to-week-10/</loc>
		<lastmod>2026-03-15T12:57:00+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-10-neurobench-ii-optimisation/topics/lecture-10-1-iterative-magnitude-pruning-algorithm-and-cubic-schedule/</loc>
		<lastmod>2026-03-15T13:12:20+00:00</lastmod>
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	<url>
		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-10-neurobench-ii-optimisation/topics/lecture-10-2-the-l_prune-auxiliary-loss-and-weight-redistribution/</loc>
		<lastmod>2026-03-15T13:14:26+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-10-neurobench-ii-optimisation/topics/lecture-10-3-threshold-scaling-post-training-synops-reduction/</loc>
		<lastmod>2026-03-15T13:16:52+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-10-neurobench-ii-optimisation/topics/lecture-10-4-temporal-batch-size-effects-on-gradient-quality-and-memory/</loc>
		<lastmod>2026-03-15T13:20:14+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-10-neurobench-ii-optimisation/topics/lecture-10-5-applying-hardware-aware-pruning-to-the-twolayerrsnn/</loc>
		<lastmod>2026-03-15T13:21:23+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-10-neurobench-ii-optimisation/topics/lecture-10-6-extended-pareto-frontier-and-the-final-neurobench-leaderboard/</loc>
		<lastmod>2026-03-15T13:22:41+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-10-neurobench-ii-optimisation/topics/lecture-10-7-synthesis-what-week-10-teaches-and-the-bridge-to-week-11/</loc>
		<lastmod>2026-03-15T13:24:59+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-11-dvs-pipeline-training-end-to-end/topics/lecture-11-1-the-dvs-gesture-dataset-and-event-preprocessing/</loc>
		<lastmod>2026-03-15T13:47:11+00:00</lastmod>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-11-dvs-pipeline-training-end-to-end/topics/lecture-11-2-the-convsnn-architecture-spatial-feature-extraction/</loc>
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		<loc>https://www.neuromorphiccore.ai/topics/topic-17/</loc>
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		<loc>https://www.neuromorphiccore.ai/modules/neur-201-spiking-neural-networks-i/lessons/week-11-dvs-pipeline-training-end-to-end/topics/lecture-11-4-surrogate-gradient-training-of-the-convsnn/</loc>
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		<lastmod>2026-04-05T21:30:46+00:00</lastmod>
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		<lastmod>2026-04-05T21:50:51+00:00</lastmod>
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		<lastmod>2026-04-05T21:58:40+00:00</lastmod>
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		<lastmod>2026-04-05T22:00:06+00:00</lastmod>
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