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Hi.
I try to make and run first time AI Neural Network on my computer.
Knowledge Python is basic.
I'm using Linux Ubuntu.
I install whole in system using apt.
When show communicate about pip, then I'm doing that.
[Is a lot of problems with right file names and compatibility.]
I try to configure to direction in home catalogue [advice from Gemini].
Port 65432 is unblocked in firewall.
Helpful is Gemini, but can't solve problems what I have now.
Please help me with that.
Python engine:
I have too second code in C++:
Error:
I try to make and run first time AI Neural Network on my computer.
Knowledge Python is basic.
I'm using Linux Ubuntu.
I install whole in system using apt.
When show communicate about pip, then I'm doing that.
[Is a lot of problems with right file names and compatibility.]
I try to configure to direction in home catalogue [advice from Gemini].
Port 65432 is unblocked in firewall.
Helpful is Gemini, but can't solve problems what I have now.
Please help me with that.
Python engine:
import brian2
import socket
import numpy as np
from brian2 import Neuron, Eq
# Define neuron equations
eqs = '''
dv/dt = (I - gl*(v-Vl) - gNa*(m**3)*h*(v-VNa) - gK*(n**4)*(v-VK)) / Cm
dm/dt = alpha_m(v)*(1-m) - beta_m(v)*m
dh/dt = alpha_h(v)*(1-h) - beta_h(v)*h
dn/dt = alpha_n(v)*(1-n) - beta_n(v)*n
'''
# Define parameters and functions for the equations (replace with actual definitions)
Vl = -65*mV # Leak reversal potential
VNa = 50*mV # Sodium reversal potential
VK = -70*mV # Potassium reversal potential
Cm = 1*uF/cm2 # Membrane capacitance
gl = 0.3e-3*siemens/cm2 # Leak conductance
gNa = 120e-3*siemens/cm2 # Sodium conductance
gK = 36e-3*siemens/cm2 # Potassium conductance
# Define neuron object using custom equations
neurons = Neuron(eqs=eqs, methods={'alpha_m': alpha_m, 'beta_m': beta_m, 'alpha_h': alpha_h, 'beta_h': beta_h, 'alpha_n': alpha_n, 'beta_n': beta_n}) # Include all required methods
# Standard variables
num_neurons = 1000
duration = 1000 # Simulation duration in milliseconds
# **(Replace with your implementation)**
# Hodgkin-Huxley neuron model with STDP learning (replace with your specific neuron and synapse definitions)
# ... (Include your specific code for defining synapses and learning rules)
# Data variables
average_firing_rates = []
average_synaptic_weights = []
# Recording functions
def record_firing_rates():
global average_firing_rates
average_firing_rates.append(np.mean(spike_monitor.count / (duration * 1000))) # Convert to Hz
def record_synaptic_weights():
global average_synaptic_weights
weights = synapses.weight # Assuming you have a 'synapses' object with weight attribute
average_synaptic_weights.append(np.mean(weights))
# Network monitors
spike_monitor = brian2.SpikeMonitor(source=neurons)
brian2.NetworkOperation(record_firing_rates, dt=10*brian2.ms) # Record every 10 ms
brian2.NetworkOperation(record_synaptic_weights, dt=100*brian2.ms) # Record every 100 ms
# Network socket setup (replace with your IP address and port)
HOST = '127.0.0.1' # Standard loopback interface address (localhost)
PORT = 65432 # Port to listen on (non-privileged ports are > 1023)
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.bind((HOST, PORT))
# Run the simulation
brian2.run(duration * brian2.ms)
# Send data to C++ program (replace with IPC if on the same machine)
data = {'firing_rates': average_firing_rates, 'synaptic_weights': average_synaptic_weights}
data_str = str(data) # Convert data to string for sending
s.sendall(data_str.encode())
# Close the socket
s.close()
I have too second code in C++:
#include <iostream>
#include <stdio.h>
#include <stdlib.h>
#include <unistd.h>
#include <string.h>
#include <sys/types.h>
#include <sys/socket.h>
#include <netinet/in.h>
#include <arpa/inet.h>
#include <sstream>
#include <jsoncpp/json.h> // Include JSON library for parsing
int main() {
// Standard variables
int port = 65432; // Port used by Brian 2 simulation
std::string host = "localhost"; // Replace with IP address of Brian 2 (if not localhost)
// Socket setup
int sockfd;
struct sockaddr_in servaddr;
sockfd = socket(AF_INET, SOCK_STREAM, 0);
if (sockfd == -1) {
perror("socket creation failed");
exit(EXIT_FAILURE);
}
memset(&servaddr, 0, sizeof(servaddr));
servaddr.sin_family = AF_INET;
servaddr.sin_port = htons(port);
servaddr.sin_addr.s_addr = inet_addr(host.c_str());
if (connect(sockfd, (struct sockaddr*)&servaddr, sizeof(servaddr)) != 0) {
perror("connection failed");
exit(EXIT_FAILURE);
}
// Data receiving and processing loop
while (1) {
char buffer[1024]; // Adjust buffer size based on data volume
int n = recv(sockfd, buffer, sizeof(buffer), 0);
if (n == 0) {
printf("Connection closed by server\n");
break;
} else if (n == -1) {
perror("recv failed");
exit(EXIT_FAILURE);
}
// Parse received data (assuming JSON format)
std::string data_str(buffer, n);
Json::Reader reader;
Json::Value data;
if (!reader.parse(data_str, data)) {
Error:
Python 3.12.3 (main, Apr 10 2024, 05:33:47) [GCC 13.2.0] on linux
Type "help", "copyright", "credits" or "license()" for more information.
= RESTART: /home/peter/python/ai_neural_brain_2/engine_brain_2.py =
ERROR Brian 2 encountered an unexpected error. If you think this is a bug in Brian 2, please report this issue either to the discourse forum at <http://brian.discourse.group/>, or to the issue tracker at <https://github.com/brian-team/brian2/issues>. Please include this file with debug information in your report: /tmp/brian_debug_vkzoele7.log Additionally, you can also include a copy of the script that was run, available at: /tmp/brian_script_fgiuug_k.py Thanks! [brian2]
Traceback (most recent call last):
File "/usr/lib/python3.12/idlelib/run.py", line 580, in runcode
exec(code, self.locals)
File "/home/peter/python/ai_neural_brain_2/engine_brain_2.py", line 5, in <module>
from brian2 import Neuron, Eq
ImportError: cannot import name 'Neuron' from 'brian2' (/usr/lib/python3/dist-packages/brian2/__init__.py)
Last edited:
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