예제 #1
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    def testAdaptShouldRemoveSegments(self):
        """
        Test that connections are generated on predefined segments.
        """
        random = Random(1981)
        active_cells = np.array(random.sample(
            np.arange(0, NUM_CELLS, 1, dtype="uint32"), 40),
                                dtype="uint32")
        active_cells.sort()

        presynaptic_input = list(range(0, 10))
        inputSDR = SDR(1024)
        inputSDR.sparse = presynaptic_input

        connections = Connections(NUM_CELLS, 0.51)
        for i in range(NUM_CELLS):
            connections.createSegment(i, 1)

        for cell in active_cells:
            segments = connections.segmentsForCell(cell)
            self.assertEqual(len(segments), 1,
                             "Segments were prematurely destroyed.")
            segment = segments[0]
            connections.adaptSegment(segment, inputSDR, 0.1, 0.001, True)
            segments = connections.segmentsForCell(cell)
            self.assertEqual(len(segments), 0, "Segments were not destroyed.")
예제 #2
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    def testAdaptShouldIncrementSynapses(self):
        """
        Test that connections are generated on predefined segments.
        """
        random = Random(1981)
        active_cells = np.array(random.sample(
            np.arange(0, NUM_CELLS, 1, dtype="uint32"), 40),
                                dtype="uint32")
        active_cells.sort()

        presynaptic_input = list(range(0, 10))
        presynaptic_input_set = set(presynaptic_input)
        inputSDR = SDR(1024)
        inputSDR.sparse = presynaptic_input

        connections = Connections(NUM_CELLS, 0.51)
        for i in range(NUM_CELLS):
            connections.createSegment(i, 1)

        for cell in active_cells:
            segments = connections.segmentsForCell(cell)
            segment = segments[0]
            for c in presynaptic_input:
                connections.createSynapse(segment, c, 0.1)
            connections.adaptSegment(segment, inputSDR, 0.1, 0.001, True)

            presynamptic_cells = self._getPresynapticCells(
                connections, segment, 0.2)
            self.assertEqual(presynamptic_cells, presynaptic_input_set,
                             "Missing synapses")

            presynamptic_cells = self._getPresynapticCells(
                connections, segment, 0.3)
            self.assertEqual(presynamptic_cells, set(), "Too many synapses")
예제 #3
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    def testNumSynapses(self):
        """
        Test that connections are generated on predefined segments.
        """
        random = Random(1981)
        active_cells = np.array(random.sample(
            np.arange(0, NUM_CELLS, 1, dtype="uint32"), 40),
                                dtype="uint32")
        active_cells.sort()

        presynaptic_input = list(range(0, 10))
        inputSDR = SDR(1024)
        inputSDR.sparse = presynaptic_input

        connections = Connections(NUM_CELLS, 0.3)
        for i in range(NUM_CELLS):
            connections.createSegment(i, 1)

        for cell in active_cells:
            segments = connections.segmentsForCell(cell)
            segment = segments[0]
            for c in presynaptic_input:
                connections.createSynapse(segment, c, 0.1)

            connections.adaptSegment(segment, inputSDR, 0.1, 0.0, False)

            num_synapses = connections.numSynapses(segment)
            self.assertEqual(num_synapses, len(presynaptic_input),
                             "Missing synapses")

        self.assertEqual(connections.numSynapses(),
                         len(presynaptic_input) * 40, "Missing synapses")
예제 #4
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    def testComputeActivity(self):
        """
        Test that connections are generated on predefined segments.
        """
        random = Random(1981)
        active_cells = np.array(random.sample(
            np.arange(0, NUM_CELLS, 1, dtype="uint32"), 40),
                                dtype="uint32")
        active_cells.sort()

        presynaptic_input = list(range(0, 10))
        inputSDR = SDR(1024)
        inputSDR.sparse = presynaptic_input
        l = len(presynaptic_input)

        connections = Connections(NUM_CELLS, 0.51, False)
        for i in range(NUM_CELLS):
            connections.createSegment(i, 1)

        numActiveConnectedSynapsesForSegment = connections.computeActivity(
            inputSDR, False)
        for count in numActiveConnectedSynapsesForSegment:
            self.assertEqual(count, 0, "Segment should not be active")

        for cell in active_cells:
            segments = connections.segmentsForCell(cell)
            segment = segments[0]
            for c in presynaptic_input:
                connections.createSynapse(segment, c, 0.1)

        numActiveConnectedSynapsesForSegment = connections.computeActivity(
            inputSDR, False)
        for count in numActiveConnectedSynapsesForSegment:
            self.assertEqual(count, 0, "Segment should not be active")

        for cell in active_cells:
            segments = connections.segmentsForCell(cell)
            segment = segments[0]
            connections.adaptSegment(segment, inputSDR, 0.5, 0.0, False)

        active_cells_set = set(active_cells)
        numActiveConnectedSynapsesForSegment = connections.computeActivity(
            inputSDR, False)
        for cell, count in enumerate(numActiveConnectedSynapsesForSegment):
            if cell in active_cells_set:
                self.assertEqual(count, l, "Segment should be active")
            else:
                self.assertEqual(count, 0, "Segment should not be active")