Changeset 181

Timestamp:

07/23/08 20:25:14 (4 months ago)

Author:

apdavison

Message:

SpikeTrain.subSpikeTrain(t_start, t_stop) now allows t_start and t_stop to be sequences of start and stop values. e.g., to pick out spikes between 0 and 100 ms and between 1000 and 1100 ms:

    new_spike_train = spike_train.subSpikeTrain([0, 1000], [100, 1100])

Files:

• trunk/src/spikes.py (modified) (3 diffs)

trunk/src/spikes.py

@@ -219 +219 @@
-        self.spike_time = sort(self.spike_time)
-
-    # Return a sub SpikeTrain object between two time bounds
-    def subSpikeTrain(self, t_start, t_stop):
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-        spikes = self.spike_times[idx]
-        return SpikeTrain(spikes, self.dt, t_start, t_stop)
@@ -240 +249 @@
-            hist *= 1000.0/time_bin
-        return hist
+
+    def rescale(self):
+        """Rescale spike times to make t_start = 0."""
+        if self.t_start != 0:
+            self.spike_times -= self.t_start
+            self.t_stop -= self.t_start
+            self.t_start = 0.0
-
-    def tuning_curve(self, var_array, normalized=False, method='sum'):
@@ -269 +285 @@
-        time_histogram = self.time_histogram(binwidth, normalized=normalized)
-        assert len(time_histogram) == len(var_array)
-        #def _orientation_tuning_curve(time_bins, orientations, responses, method='sum'):
-        tuning_curve = {}
-        counts = {}