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main.tex
\documentclass[10pt]{article}
\usepackage[margin=1.7cm]{geometry}
\usepackage{libertine}
\usepackage{amsmath}
\usepackage{xcolor}
\usepackage{pgfplots}
\pgfplotsset{compat=1.18}
\pagestyle{empty}
\setlength{\parindent}{0pt}
\setlength{\parskip}{0.5em}

\definecolor{accent}{HTML}{8A3A5C}
\definecolor{spike}{HTML}{2E5C8A}

\newcommand{\heading}[1]{{\bfseries\color{accent} #1}}

\begin{document}

{\LARGE\bfseries\color{accent} Computational Neuroscience Notes}\\[0.1em]
{\large Lecture 9: the leaky integrate-and-fire neuron model}

\vspace{0.5em}
\heading{1. Membrane dynamics}

The leaky integrate-and-fire (LIF) model treats a neuron's membrane as an
RC circuit driven by an input current $I(t)$. The subthreshold membrane
potential $V(t)$ obeys
\[
  \tau_m \frac{dV}{dt} = -\big(V(t) - V_{\text{rest}}\big) + R\, I(t),
\]
where $\tau_m = R C$ is the membrane time constant, $V_{\text{rest}}$ is the
resting potential, and $R$ is the membrane resistance. Between spikes this
is a simple linear ODE: with constant input the membrane charges toward the
steady state $V_{\text{rest}} + R I$ with time constant $\tau_m$.

\heading{2. The threshold-and-reset rule}

The model becomes a spiking neuron by adding a nonlinear reset. Whenever
$V(t)$ reaches the threshold $V_{\text{th}}$,
\[
  V(t) \ge V_{\text{th}} \quad\Longrightarrow\quad
  \text{emit a spike, then set } V(t^+) = V_{\text{reset}},
\]
after which the subthreshold dynamics resume. This single rule, linear
charging plus an instantaneous reset, is enough to reproduce a wide range of
firing patterns seen in cortical recordings, provided $\tau_m$, $V_{\text{th}}$,
and the input statistics are chosen to match the cell being modeled.

\heading{3. Firing rate under constant drive}

For a constant suprathreshold current the inter-spike interval has a closed
form, giving the steady-state firing rate
\[
  f = \left[ \tau_m \ln\!\left( \frac{R I - (V_{\text{reset}} - V_{\text{rest}})}
  {R I - (V_{\text{th}} - V_{\text{rest}})} \right) \right]^{-1}.
\]
Increasing $I$ shortens each charging phase and raises $f$ smoothly, with no
sharp onset, in contrast to neurons that show a hard rheobase threshold.

\heading{4. Simulated membrane potential trace}

The trace below simulates Euler integration of the LIF equation with
$\tau_m = 10$ ms, $V_{\text{rest}} = -65$ mV, $V_{\text{th}} = -50$ mV, and
$V_{\text{reset}} = -70$ mV under constant input. Each vertical line marks a
spike, after which the potential resets and begins charging again.

\begin{center}
\begin{tikzpicture}
\begin{axis}[
    width=14.5cm, height=6.2cm,
    xlabel={time (ms)}, ylabel={$V$ (mV)},
    xmin=0, xmax=100, ymin=-72, ymax=25,
    axis lines=left,
    xtick={0,20,...,100}, ytick={-70,-65,-50,0},
    ticklabel style={font=\scriptsize},
    label style={font=\small},
    axis line style={accent}, tick style={accent},
    ]
  \draw[accent!50, dashed] (axis cs:0,-50) -- (axis cs:100,-50);
  \draw[accent!50, dashed] (axis cs:0,-65) -- (axis cs:100,-65);
  \node[accent, font=\scriptsize, anchor=south west] at (axis cs:62,-50) {$V_{\text{th}} = -50$~mV};
  \node[accent, font=\scriptsize, anchor=north west] at (axis cs:62,-65) {$V_{\text{rest}} = -65$~mV};

  \addplot[spike, thick] coordinates {
    (0.0,-65.0) (0.5,-64.1) (1.0,-63.24) (1.5,-62.43) (2.0,-61.66) (2.5,-60.93) (3.0,-60.23) (3.5,-59.57) (4.0,-58.94) (4.5,-58.34) (5.0,-57.78) (5.5,-57.24) (6.0,-56.73) (6.5,-56.24) (7.0,-55.78) (7.5,-55.34) (8.0,-54.92) (8.5,-54.53) (9.0,-54.15) (9.5,-53.79) (10.0,-53.45) (10.5,-53.13) (11.0,-52.82) (11.5,-52.53) (12.0,-52.26) (12.5,-51.99) (13.0,-51.74) (13.5,-51.51) (14.0,-51.28) (14.5,-51.07) (15.0,-50.86) (15.5,-50.67) (16.0,-50.49) (16.5,-50.31) (17.0,-50.15) (17.5,-70.0) (18.0,-68.85) (18.5,-67.76) (19.0,-66.72) (19.5,-65.73) (20.0,-64.8) (20.5,-63.91) (21.0,-63.06) (21.5,-62.26) (22.0,-61.5) (22.5,-60.77) (23.0,-60.08) (23.5,-59.43) (24.0,-58.81) (24.5,-58.22) (25.0,-57.66) (25.5,-57.12) (26.0,-56.62) (26.5,-56.14) (27.0,-55.68) (27.5,-55.25) (28.0,-54.83) (28.5,-54.44) (29.0,-54.07) (29.5,-53.72) (30.0,-53.38) (30.5,-53.06) (31.0,-52.76) (31.5,-52.47) (32.0,-52.2) (32.5,-51.94) (33.0,-51.69) (33.5,-51.46) (34.0,-51.23) (34.5,-51.02) (35.0,-50.82) (35.5,-50.63) (36.0,-50.45) (36.5,-50.28) (37.0,-50.11) (37.5,-70.0) (38.0,-68.85) (38.5,-67.76) (39.0,-66.72) (39.5,-65.73) (40.0,-64.8) (40.5,-63.91) (41.0,-63.06) (41.5,-62.26) (42.0,-61.5) (42.5,-60.77) (43.0,-60.08) (43.5,-59.43) (44.0,-58.81) (44.5,-58.22) (45.0,-57.66) (45.5,-57.12) (46.0,-56.62) (46.5,-56.14) (47.0,-55.68) (47.5,-55.25) (48.0,-54.83) (48.5,-54.44) (49.0,-54.07) (49.5,-53.72) (50.0,-53.38) (50.5,-53.06) (51.0,-52.76) (51.5,-52.47) (52.0,-52.2) (52.5,-51.94) (53.0,-51.69) (53.5,-51.46) (54.0,-51.23) (54.5,-51.02) (55.0,-50.82) (55.5,-50.63) (56.0,-50.45) (56.5,-50.28) (57.0,-50.11) (57.5,-70.0) (58.0,-68.85) (58.5,-67.76) (59.0,-66.72) (59.5,-65.73) (60.0,-64.8) (60.5,-63.91) (61.0,-63.06) (61.5,-62.26) (62.0,-61.5) (62.5,-60.77) (63.0,-60.08) (63.5,-59.43) (64.0,-58.81) (64.5,-58.22) (65.0,-57.66) (65.5,-57.12) (66.0,-56.62) (66.5,-56.14) (67.0,-55.68) (67.5,-55.25) (68.0,-54.83) (68.5,-54.44) (69.0,-54.07) (69.5,-53.72) (70.0,-53.38) (70.5,-53.06) (71.0,-52.76) (71.5,-52.47) (72.0,-52.2) (72.5,-51.94) (73.0,-51.69) (73.5,-51.46) (74.0,-51.23) (74.5,-51.02) (75.0,-50.82) (75.5,-50.63) (76.0,-50.45) (76.5,-50.28) (77.0,-50.11) (77.5,-70.0) (78.0,-68.85) (78.5,-67.76) (79.0,-66.72) (79.5,-65.73) (80.0,-64.8) (80.5,-63.91) (81.0,-63.06) (81.5,-62.26) (82.0,-61.5) (82.5,-60.77) (83.0,-60.08) (83.5,-59.43) (84.0,-58.81) (84.5,-58.22) (85.0,-57.66) (85.5,-57.12) (86.0,-56.62) (86.5,-56.14) (87.0,-55.68) (87.5,-55.25) (88.0,-54.83) (88.5,-54.44) (89.0,-54.07) (89.5,-53.72) (90.0,-53.38) (90.5,-53.06) (91.0,-52.76) (91.5,-52.47) (92.0,-52.2) (92.5,-51.94) (93.0,-51.69) (93.5,-51.46) (94.0,-51.23) (94.5,-51.02) (95.0,-50.82) (95.5,-50.63) (96.0,-50.45) (96.5,-50.28) (97.0,-50.11) (97.5,-70.0) (98.0,-68.85) (98.5,-67.76) (99.0,-66.72) (99.5,-65.73) (100.0,-64.8)
  };

  \addplot[spike, thick] coordinates {(17.0,-50) (17.0,20)};
  \addplot[spike, thick] coordinates {(37.0,-50) (37.0,20)};
  \addplot[spike, thick] coordinates {(57.0,-50) (57.0,20)};
  \addplot[spike, thick] coordinates {(77.0,-50) (77.0,20)};
  \addplot[spike, thick] coordinates {(97.0,-50) (97.0,20)};
\end{axis}
\end{tikzpicture}
\end{center}

\heading{5. Reading the trace}

Between spikes the potential climbs monotonically toward the driven steady
state, slowing as it approaches $V_{\text{th}}$ because the driving term
$R I - (V - V_{\text{rest}})$ shrinks. The five spikes shown are evenly
spaced because the input current is constant, an inter-spike interval of
20 ms corresponds to a firing rate of 50 Hz for this parameter set.

\end{document}

Trong ứng dụng: mở thư viện Dự án mới, cài đặt gói {nhãn} trong "Nhận thêm mẫu" và mẫu này xuất hiện cùng với bản xem trước trực tiếp và tạo dự án chỉ bằng một cú nhấp chuột. Quá trình biên dịch chạy cục bộ trên công cụ đi kèm.

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