程序代写

# ucsbcs154lab6 # All Rights Reserved # Copyright (c) 2023 University of California Santa Barbara # Distribution Prohibited import pyrtl pyrtl.core.set_debug_mode() fetch_pc = pyrtl.Input(bitwidth=32, name=’fetch_pc’) # current pc in fetch update_prediction = pyrtl.Input(bitwidth=1, name=’update_prediction’) # whether to update prediction update_branch_pc = pyrtl.Input(bitwidth=32, name=’update_branch_pc’) # previous pc (in decode/execute) update_branch_taken = pyrtl.Input(bitwidth=1, name=’update_branch_taken’) # whether branch […]

# ucsbcs154lab6 # All Rights Reserved # Copyright (c) 2023 University of California Santa Barbara # Distribution Prohibited import pyrtl pyrtl.core.set_debug_mode() fetch_pc = pyrtl.Input(bitwidth=32, name=’fetch_pc’) # current pc in fetch update_prediction = pyrtl.Input(bitwidth=1, name=’update_prediction’) # whether to update prediction update_branch_pc = pyrtl.Input(bitwidth=32, name=’update_branch_pc’) # previous pc (in decode/execute) update_branch_taken = pyrtl.Input(bitwidth=1, name=’update_branch_taken’) # whether branch

HW5_Handout PROBLEM #1:¶ The dendritic processing circuit in the figure below is consists of a linear filter with impulse response $h_1(t)$ in cascade with a Biophysical Spike Generator (BSG) which is taken to be an Ideal Integrate-and-fire Neuron; the BSG has a feedback loop that is modeled as a linear filter with impulse response $h_2(t)$.

Project1-Q1-Handout Read the paper, and prove (show your steps) that the model described by equations (2) indeed reduce to the model defined by equations (3) for the initial condition: $x_2(0) = x_6(0)$ and $\dot{x}_2(0) = \dot{x}_6(0)$. Simulate the model defined by the set of equations (3) and (4). Use $\alpha_1=-0.024, \alpha_2=0.0216, \alpha_3=-0.0012, \alpha_4=0.12, C=1.35, \beta=4,

Project2_Handout_2022 Problem 1:¶ Recall the following circuit from HW4: $h^1$ and $h^2$ refer to feedforward filters; $h^{11}$ and $h^{22}$ refer to feedback filters; $H$ refer to summation-cross-feedback filters. Take $BSG_1, BSG_2$ to be IAF neurons with $b=1,\delta=0.01$ and $b=-1,\delta=-0.01$ respectively. Both neurons have $\kappa=1$. Questions:¶ Encode and decode a randomly generated input stimulus using the

HW6_Handout_2022 PROBLEM #1:¶ The dendritic processing circuit in the figure below is consists of a linear spatial filter with impulse response $h_1(x,y)$ in cascade with a Biophysical Spike Generator (BSG) which is taken to be an Ideal Integrate-and-fire Neuron; the BSG has a feedback loop that is modeled as a linear temporal filter with impulse

Intro to Image Understanding (CSC420) Assignment 2 Posted: Feb 5, 2024 Submission Deadline : Feb 13, 11.59pm, 2024 Instructions for submission: Please write a document (either pdf, doc, etc) with your solutions (include pictures where needed). Include your code inside the document. Please submit through MarkUs. You are expected to work on the assignment individually.